Thanks to @sam_atis for some tips on working with this data in R.

Last updated: December 15, 2021

This page contains trends and data for the share of the Virginia population which has received vaccinations (by age and by overall population). Trends are provided for first doses, full vaccinations, and boosters. This page was created as a tool for use in forecasting vaccination trends in Virginia on Metaculus.

Offical Virginia Department of Health vaccination information can be found here: https://www.vdh.virginia.gov/coronavirus/see-the-numbers/covid-19-in-virginia/covid-19-vaccine-summary/

IMPORTANT DATA NOTE: The official Virginia vaccination information includes federal doses in the totals for those with at least one dose and those who are fully vaccinated. Virginia does not break Federal doses down by age. So while the data by age should match what the Virginia Department of Health is showing, percent of the population with one dose and the percent of the population fully vaccinated will not match because Virginia’s numbers include Federal doses. Currently I have been unable to find Federal doses over time in Virginia, the only source appears to be the page linked below which shows the latest Federal numbers. Any numbers which rely on the total population with one dose or total population fully vaccinated will not match the numbers as reported by Virginia.

Virginia Federal doses information: https://www.vdh.virginia.gov/coronavirus/see-the-numbers/covid-19-in-virginia/covid-19-vaccine-summary/covid-19-vaccine-federal-doses/

Data sources used:

Click the “Code” buttons to see the R code used on this page. An R Markdown file of this page is available here for anyone who wishes to download and run or modify it themselves.

library(RSocrata)
library(tidyverse)
library(zoo)
library(scales)
library(kableExtra)
library(reshape2)
library(latticeExtra)

#see here for population data: https://docs.google.com/spreadsheets/d/1XEv7Lh38nRLwFBtTijncCjdT5YHCBGWAash4ivGKcvs/edit?usp=sharing
zero_pop = 505477
five_pop = 723069
twelve_pop = 422741
sixteen_pop = 209561
eighteen_pop = 798197
twentyfive_pop = 1190381
thirtyfive_pop = 1112496
fortyfive_pop = 1100274
fiftyfive_pop = 1114417
sixtyfive_pop = 802291
seventyfive_pop = 402130
eightyfive_pop = 154485

total_pop = zero_pop + five_pop + twelve_pop + sixteen_pop + eighteen_pop + twentyfive_pop+ thirtyfive_pop + fortyfive_pop + fiftyfive_pop + sixtyfive_pop + seventyfive_pop + eightyfive_pop

df <- read.socrata("https://data.virginia.gov/resource/8fmk-qt4d.csv")

df <- df %>% mutate(report_date = as.Date(report_date,"%Y-%m-%d"))

#source below shows federal data but it's a static number, not tracked by date
#federal_test <- read.socrata("https://data.virginia.gov/resource/28k2-x2rj.csv")

#grouped_federal <- federal_test %>% group_by(administration_date, facility_type,dose_number) %>% summarise(administered = sum(vaccine_doses_administered))

grouped_vaccinations <- df %>% group_by(report_date,vaccination_status,age_group_type,age_group) %>% summarise(vaccinated = sum(people_by_vaccination_status_count))

grouped_vaccinations <- mutate(grouped_vaccinations, age_group_pop = ifelse(age_group == "5-11 Years",five_pop,
                                                  ifelse(age_group == "12-15 Years",twelve_pop,
                                                  ifelse(age_group == "16-17 Years",sixteen_pop,
                                                  ifelse(age_group == "18-24 Years",eighteen_pop,
                                                  ifelse(age_group == "25-34 Years",twentyfive_pop,  
                                                  ifelse(age_group == "35-44 Years",thirtyfive_pop,                                                                    ifelse(age_group == "45-54 Years",fortyfive_pop,                                                                     ifelse(age_group == "55-64 Years",fiftyfive_pop,                                                                     ifelse(age_group == "65-74 Years",sixtyfive_pop,                                                                     ifelse(age_group == "75-84 Years",seventyfive_pop,
                                                  ifelse(age_group == "85+ Years",eightyfive_pop, 0))))))))))))   

grouped_vaccinations <- mutate(grouped_vaccinations, upper_age = ifelse(age_group == "5-11 Years",11,
                                                  ifelse(age_group == "12-15 Years",15,
                                                  ifelse(age_group == "16-17 Years",17,
                                                  ifelse(age_group == "18-24 Years",24,
                                                  ifelse(age_group == "25-34 Years",34,  
                                                  ifelse(age_group == "35-44 Years",44,                                                                                ifelse(age_group == "45-54 Years",54,                                                                                ifelse(age_group == "55-64 Years",64,                                                                                ifelse(age_group == "65-74 Years",74,                                                                                ifelse(age_group == "75-84 Years",84,
                                                  ifelse(age_group == "85+ Years",150, NA))))))))))))  

#ONE DOSE TRENDS
one_dose_group <- grouped_vaccinations %>% filter(age_group_type == "Vaccine Age Group", vaccination_status == "At Least One Dose")

one_dose_group <- mutate(one_dose_group, age_group_percent = vaccinated/age_group_pop)

one_dose_group <- one_dose_group %>% group_by(age_group) %>% mutate(seven_day_avg = (age_group_percent - lag(age_group_percent,7))/7) %>% ungroup()

one_dose_eleven <- filter(one_dose_group,upper_age <= 12)

one_dose_young <- filter(one_dose_group,upper_age <= 45, upper_age > 11)

one_dose_old <- filter(one_dose_group, upper_age > 45)

cumulative_one_dose_eleven <- ggplot(one_dose_eleven, aes(report_date, age_group_percent)) +
  geom_line(aes(color = age_group), size=1.0) +
  labs(x="Date", y="Percent Vaccinated", title="Cumulative Virginia COVID First Doses: 5-11", color="Age") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.05)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  expand_limits(x = as.Date("2021-11-1")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))


cumulative_one_dose_young <- ggplot(one_dose_young, aes(report_date, age_group_percent)) +
  geom_line(aes(color = age_group), size=1.0) +
  labs(x="Date", y="Percent Vaccinated", title="Cumulative Virginia COVID First Doses: Ages 12 to 44", color="Age") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.05)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

cumulative_one_dose_old <- ggplot(one_dose_old, aes(report_date, age_group_percent)) +
  geom_line(aes(color = age_group), size=1.0) +
  labs(x="Date", y="Percent Vaccinated", title="Cumulative Virginia COVID First Doses: Ages 45+", color="Age") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.05)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

rolling_one_dose_eleven <- ggplot(one_dose_eleven, aes(report_date, seven_day_avg)) +
  geom_line(aes(color = age_group), size=1.0) +
  labs(x="Date", y="Daily % Increase (7 Day Rolling Average)", title="Rolling Virginia COVID First Doses: Ages 5 to 11", color="Age") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.001)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  expand_limits(x = as.Date("2021-11-1")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

rolling_one_dose_young <- ggplot(one_dose_young, aes(report_date, seven_day_avg)) +
  geom_line(aes(color = age_group), size=1.0) +
  labs(x="Date", y="Daily % Increase (7 Day Rolling Average)", title="Rolling Virginia COVID First Doses: Ages 12 to 44", color="Age") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.001)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

rolling_one_dose_old <- ggplot(one_dose_old, aes(report_date, seven_day_avg)) +
  geom_line(aes(color = age_group), size=1.0) +
  labs(x="Date", y="Daily % Increase (7 Day Rolling Average)", title="Rolling Virginia COVID First Doses: Ages 45+", color="Age") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.001)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

#FULL VAX TRENDS
full_vax_group <- grouped_vaccinations %>% filter(age_group_type == "Vaccine Age Group", vaccination_status == "Fully Vaccinated")

full_vax_group <- mutate(full_vax_group, age_group_percent = vaccinated/age_group_pop)

full_vax_group <- full_vax_group %>% group_by(age_group) %>% mutate(seven_day_avg = (age_group_percent - lag(age_group_percent,7))/7) %>% ungroup()

full_vax_eleven <- filter(full_vax_group,upper_age <= 12)

full_vax_young <- filter(full_vax_group,upper_age <= 45, upper_age > 11)

full_vax_old <- filter(full_vax_group, upper_age > 45)

#Currently the below calculates the total minus the federal doses. Need to figure out if it's possible to account for federal doses over time.
#full_vax_total <- df %>% group_by(report_date,vaccination_status,age_group_type) %>% summarise(vaccinated = sum(people_by_vaccination_status_count))

cumulative_full_vax_eleven <- ggplot(full_vax_eleven, aes(report_date, age_group_percent)) +
  geom_line(aes(color = age_group), size=1.0) +
  labs(x="Date", y="Percent Vaccinated", title="Cumulative Virginia COVID Fully Vaccinated: 5-11", color="Age") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.05)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  expand_limits(x = as.Date("2021-11-1")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))


cumulative_full_vax_young <- ggplot(full_vax_young, aes(report_date, age_group_percent)) +
  geom_line(aes(color = age_group), size=1.0) +
  labs(x="Date", y="Percent Vaccinated", title="Cumulative Virginia COVID Fully Vaccinated: Ages 12 to 44", color="Age") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.05)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

cumulative_full_vax_old <- ggplot(full_vax_old, aes(report_date, age_group_percent)) +
  geom_line(aes(color = age_group), size=1.0) +
  labs(x="Date", y="Percent Vaccinated", title="Cumulative Virginia COVID Fully Vaccinated: Ages 45+", color="Age") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.05)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

rolling_full_vax_eleven <- ggplot(full_vax_eleven, aes(report_date, seven_day_avg)) +
  geom_line(aes(color = age_group), size=1.0) +
  labs(x="Date", y="Daily % Increase (7 Day Rolling Average)", title="Rolling Virginia COVID Fully Vaccinated: Ages 5 to 11", color="Age") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.001)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  expand_limits(x = as.Date("2021-11-1")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

rolling_full_vax_young <- ggplot(full_vax_young, aes(report_date, seven_day_avg)) +
  geom_line(aes(color = age_group), size=1.0) +
  labs(x="Date", y="Daily % Increase (7 Day Rolling Average)", title="Rolling Virginia COVID Fully Vaccinated: Ages 12 to 44", color="Age") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.001)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

rolling_full_vax_old <- ggplot(full_vax_old, aes(report_date, seven_day_avg)) +
  geom_line(aes(color = age_group), size=1.0) +
  labs(x="Date", y="Daily % Increase (7 Day Rolling Average)", title="Rolling Virginia COVID Fully Vaccinated: Ages 45+", color="Age") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.001)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

#BOOSTER TRENDS
booster_group <- grouped_vaccinations %>% filter(age_group_type == "Vaccine Age Group", vaccination_status == "Booster/ Third Dose")

booster_group <- mutate(booster_group, age_group_percent = vaccinated/age_group_pop)

booster_group <- booster_group %>% group_by(age_group) %>% mutate(seven_day_avg = (age_group_percent - lag(age_group_percent,7))/7) %>% ungroup()

booster_eleven <- filter(booster_group,upper_age <= 12)

booster_young <- filter(booster_group,upper_age <= 45, upper_age > 11)

booster_old <- filter(booster_group, upper_age > 45)

#Currently the below calculates the total minus the federal doses. Need to figure out if it's possible to account for federal doses over time.
#booster_total <- df %>% group_by(report_date,vaccination_status,age_group_type) %>% summarise(vaccinated = sum(people_by_vaccination_status_count))

cumulative_booster_eleven <- ggplot(booster_eleven, aes(report_date, age_group_percent)) +
  geom_line(aes(color = age_group), size=1.0) +
  labs(x="Date", y="Percent Vaccinated", title="Cumulative Virginia COVID Boosters: 5-11", color="Age") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.05)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  expand_limits(x = as.Date("2021-11-1")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))


cumulative_booster_young <- ggplot(booster_young, aes(report_date, age_group_percent)) +
  geom_line(aes(color = age_group), size=1.0) +
  labs(x="Date", y="Percent Vaccinated", title="Cumulative Virginia COVID Boosters: Ages 12 to 44", color="Age") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.05)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

cumulative_booster_old <- ggplot(booster_old, aes(report_date, age_group_percent)) +
  geom_line(aes(color = age_group), size=1.0) +
  labs(x="Date", y="Percent Vaccinated", title="Cumulative Virginia COVID Boosters: Ages 45+", color="Age") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.05)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

rolling_booster_eleven <- ggplot(booster_eleven, aes(report_date, seven_day_avg)) +
  geom_line(aes(color = age_group), size=1.0) +
  labs(x="Date", y="Daily % Increase (7 Day Rolling Average)", title="Rolling Virginia COVID Boosters: Ages 5 to 11", color="Age") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.001)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  expand_limits(x = as.Date("2021-11-1")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

rolling_booster_young <- ggplot(booster_young, aes(report_date, seven_day_avg)) +
  geom_line(aes(color = age_group), size=1.0) +
  labs(x="Date", y="Daily % Increase (7 Day Rolling Average)", title="Rolling Virginia COVID Boosters: Ages 12 to 44", color="Age") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.001)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

rolling_booster_old <- ggplot(booster_old, aes(report_date, seven_day_avg)) +
  geom_line(aes(color = age_group), size=1.0) +
  labs(x="Date", y="Daily % Increase (7 Day Rolling Average)", title="Rolling Virginia COVID Boosters: Ages 45+", color="Age") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.001)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

#TOTALS
total_pop_vaccinations <- df %>% group_by(report_date,vaccination_status,age_group_type) %>% summarise(vaccinated = sum(people_by_vaccination_status_count)) %>% filter(age_group_type == "Case Age Group")

one_total <- total_pop_vaccinations %>% filter(vaccination_status == "At Least One Dose") %>% ungroup() %>% select(report_date,One_Dose=vaccinated)

full_total <- total_pop_vaccinations %>% filter(vaccination_status == "Fully Vaccinated") %>% ungroup() %>% select(report_date,Full_Vax=vaccinated)

booster_total <- total_pop_vaccinations %>% filter(vaccination_status == "Booster/ Third Dose") %>% ungroup() %>% select(report_date,Booster=vaccinated)

total_vax <- left_join(one_total,full_total)

total_vax <- left_join(total_vax,booster_total)

total_vax <- total_vax %>% mutate(One_Dose = One_Dose/total_pop,Full_Vax = Full_Vax/total_pop, Booster = Booster/total_pop, Portion_Full_Boosted = Booster/Full_Vax)

total_vax <- total_vax %>% mutate(seven_day_avg_one = (One_Dose - lag(One_Dose,7))/7,seven_day_avg_full = (Full_Vax - lag(Full_Vax,7))/7,seven_day_avg_boost = (Booster - lag(Booster,7))/7, seven_day_avg_boost_full = (Portion_Full_Boosted - lag(Portion_Full_Boosted,7))/7)

#cumulative charts
cumulative_one_dose_total <- ggplot(total_vax, aes(report_date, One_Dose)) +
  geom_line(color = "blue",size=1.0) +
  labs(x="Date", y="Percent", title="Virginia Percent of Total Population Vaccinated with One Dose") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.05), limits = c(NA,0.9)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

cumulative_full_vax_total <- ggplot(total_vax, aes(report_date, Full_Vax)) +
  geom_line(color = "blue",size=1.0) +
  labs(x="Date", y="Percent", title="Virginia Percent of Total Population Fully Vaccinated") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.05), limits = c(NA,0.9)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

cumulative_booster_total <- ggplot(total_vax, aes(report_date, Booster)) +
  geom_line(color = "blue",size=1.0) +
  labs(x="Date", y="Percent", title="Virginia Percent of Total Population with Booster") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.05), limits = c(NA,0.65)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y"), limits = c(as.Date("2021-10-01"),NA)) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

cumulative_booster_full_total <- ggplot(total_vax, aes(report_date, Portion_Full_Boosted)) +
  geom_line(color = "blue",size=1.0) +
  labs(x="Date", y="Percent", title="Virginia Percent of Fully Vaccinated Population with Booster") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.05), limits = c(NA,0.65)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y"), limits = c(as.Date("2021-10-01"),NA)) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

#rolling average charts
rolling_one_dose_total <- ggplot(total_vax, aes(report_date, seven_day_avg_one)) +
  geom_line(color = "blue",size=1.0) +
  labs(x="Date", y="Daily % Increase (7 Day Rolling Average)", title="Rolling Virginia COVID First Doses") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.001), limits = c(0,0.015)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

rolling_full_vax_total <- ggplot(total_vax, aes(report_date, seven_day_avg_full)) +
  geom_line(color = "blue",size=1.0) +
  labs(x="Date", y="Daily % Increase (7 Day Rolling Average)", title="Rolling Virginia COVID Fully Vaccinated") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.001), limits = c(0,0.015)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y")) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

rolling_booster_total <- ggplot(total_vax, aes(report_date, seven_day_avg_boost)) +
  geom_line(color = "blue",size=1.0) +
  labs(x="Date", y="Daily % Increase (7 Day Rolling Average)", title="Rolling Virginia COVID Boosters") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.001), limits = c(0,0.015)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y"), limits = c(as.Date("2021-10-01"),NA)) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

rolling_booster_full_total <- ggplot(total_vax, aes(report_date, seven_day_avg_boost_full)) +
  geom_line(color = "blue",size=1.0) +
  labs(x="Date", y="Daily % Increase (7 Day Rolling Average)", title="Rolling Virginia COVID Boosters as Percent of Fully Vaccinated") +
  scale_y_continuous(labels = percent, breaks = breaks_width(0.001), limits = c(0,0.015)) +
  scale_x_date(breaks="1 month",labels = date_format("%b/%y"), limits = c(as.Date("2021-10-01"),NA)) +
  theme_classic() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust=1)) +
  theme(panel.grid.major = element_line(colour = "grey"))

#BUILD DATA TABLES

#~~~~~~~~~~~~~CUMULATIVE TABLES~~~~~~~~~~~~~~~~~
#one dose by age
one_dose_table <- one_dose_group %>% ungroup() %>% select(report_date, age_group, age_group_percent, seven_day_avg)

one_dose_table <- pivot_wider(data = one_dose_table,id_cols = report_date,names_from = age_group,values_from = c("age_group_percent","seven_day_avg"))

one_dose_table <- one_dose_table[-c(12,14:25)]

one_dose_table <- one_dose_table[,c(1,12,2:11)] %>% arrange(desc(report_date))

one_dose_table <- one_dose_table %>% mutate(across(-1, ~ label_percent(accuracy = 0.1)(.)))

one_dose_table_output <- kbl(one_dose_table,col.names = c("Date","5-11","12-15","16-17","18-24","25-34","35-44","45-54","55-64","65-74","75-84","85+")) %>%
  kable_minimal(full_width = F) %>%
  column_spec(1,width_min = "6em") %>%
  scroll_box(width = "100%", height = "500px")

#full vacc. by age
full_vax_table <- full_vax_group %>% ungroup() %>% select(report_date, age_group, age_group_percent, seven_day_avg)

full_vax_table <- pivot_wider(data = full_vax_table,id_cols = report_date,names_from = age_group,values_from = c("age_group_percent","seven_day_avg"))

full_vax_table <- full_vax_table[-c(12,14:25)]

full_vax_table <- full_vax_table[,c(1,12,2:11)] %>% arrange(desc(report_date))

full_vax_table <- full_vax_table %>% mutate(across(-1, ~ label_percent(accuracy = 0.1)(.)))

full_vax_table_output <- kbl(full_vax_table,col.names = c("Date","5-11","12-15","16-17","18-24","25-34","35-44","45-54","55-64","65-74","75-84","85+")) %>%
  kable_minimal(full_width = F) %>%
  column_spec(1,width_min = "6em") %>%
  scroll_box(width = "100%", height = "500px")

#booster by age
booster_table <- booster_group %>% ungroup() %>% select(report_date, age_group, age_group_percent, seven_day_avg)

booster_table <- pivot_wider(data = booster_table,id_cols = report_date,names_from = age_group,values_from = c("age_group_percent","seven_day_avg"))

booster_table <- booster_table[-c(12,14:25)]

booster_table <- booster_table[,c(1,12,2:11)] %>% arrange(desc(report_date))

booster_table <- booster_table %>% mutate(across(-1, ~ label_percent(accuracy = 0.1)(.)))

booster_table_output <- kbl(booster_table,col.names = c("Date","5-11","12-15","16-17","18-24","25-34","35-44","45-54","55-64","65-74","75-84","85+")) %>%
  kable_minimal(full_width = F) %>%
  column_spec(1,width_min = "6em") %>%
  scroll_box(width = "100%", height = "500px")
#~~~~~~~~~~~END CUMULATIVE TABLES~~~~~~~~~~~~~~~~

#~~~~~~~~~~~ROLLING AVG TABLES~~~~~~~~~~~~~~~~~
#one dose by age
one_dose_rolling_table <- one_dose_group %>% ungroup() %>% select(report_date, age_group, age_group_percent, seven_day_avg)

one_dose_rolling_table <- pivot_wider(data = one_dose_rolling_table,id_cols = report_date,names_from = age_group,values_from = c("age_group_percent","seven_day_avg"))

one_dose_rolling_table <- one_dose_rolling_table[-c(2:13,24)]

one_dose_rolling_table <- one_dose_rolling_table[,c(1,12,2:11)] %>% arrange(desc(report_date))

one_dose_rolling_table <- one_dose_rolling_table %>% mutate(across(-1, ~ label_percent(accuracy = 0.001)(.)))

one_dose_rolling_table_output <- kbl(one_dose_rolling_table,col.names = c("Date","5-11","12-15","16-17","18-24","25-34","35-44","45-54","55-64","65-74","75-84","85+")) %>%
  kable_minimal(full_width = F) %>%
  column_spec(1,width_min = "6em") %>%
  scroll_box(width = "100%", height = "500px")

#full vax by age
full_vax_rolling_table <- full_vax_group %>% ungroup() %>% select(report_date, age_group, age_group_percent, seven_day_avg)

full_vax_rolling_table <- pivot_wider(data = full_vax_rolling_table,id_cols = report_date,names_from = age_group,values_from = c("age_group_percent","seven_day_avg"))

full_vax_rolling_table <- full_vax_rolling_table[-c(2:13,24)]

full_vax_rolling_table <- full_vax_rolling_table[,c(1,12,2:11)] %>% arrange(desc(report_date))

full_vax_rolling_table <- full_vax_rolling_table %>% mutate(across(-1, ~ label_percent(accuracy = 0.001)(.)))

full_vax_rolling_table_output <- kbl(full_vax_rolling_table,col.names = c("Date","5-11","12-15","16-17","18-24","25-34","35-44","45-54","55-64","65-74","75-84","85+")) %>%
  kable_minimal(full_width = F) %>%
  column_spec(1,width_min = "6em") %>%
  scroll_box(width = "100%", height = "500px")

#booster by age
booster_rolling_table <- booster_group %>% ungroup() %>% select(report_date, age_group, age_group_percent, seven_day_avg)

booster_rolling_table <- pivot_wider(data = booster_rolling_table,id_cols = report_date,names_from = age_group,values_from = c("age_group_percent","seven_day_avg"))

booster_rolling_table <- booster_rolling_table[-c(2:13,24)]

booster_rolling_table <- booster_rolling_table[,c(1,12,2:11)] %>% arrange(desc(report_date))

booster_rolling_table <- booster_rolling_table %>% mutate(across(-1, ~ label_percent(accuracy = 0.001)(.)))

booster_rolling_table_output <- kbl(booster_rolling_table,col.names = c("Date","5-11","12-15","16-17","18-24","25-34","35-44","45-54","55-64","65-74","75-84","85+")) %>%
  kable_minimal(full_width = F) %>%
  column_spec(1,width_min = "6em") %>%
  scroll_box(width = "100%", height = "500px")
#~~~~~~~~~~~~~~~~~~END ROLLING BY AGE TABLES~~~~~~~~~~~~~~~

#totals cumulative and rolling average
totals_table <- total_vax %>% select(report_date,One_Dose,seven_day_avg_one,Full_Vax,seven_day_avg_full,Booster,seven_day_avg_boost,Portion_Full_Boosted,seven_day_avg_boost_full) %>% arrange(desc(report_date))

totals_table <- totals_table %>% mutate(One_Dose = label_percent(accuracy=0.1)(One_Dose),seven_day_avg_one = label_percent(accuracy=0.001)(seven_day_avg_one),Full_Vax = label_percent(accuracy=0.1)(Full_Vax),seven_day_avg_full = label_percent(accuracy=0.001)(seven_day_avg_full),Booster = label_percent(accuracy=0.1)(Booster),seven_day_avg_boost = label_percent(accuracy=0.001)(seven_day_avg_boost),Portion_Full_Boosted = label_percent(accuracy=0.1)(Portion_Full_Boosted),seven_day_avg_boost_full = label_percent(accuracy=0.001)(seven_day_avg_boost_full))

totals_table_output <- kbl(totals_table,col.names = c("Date","One Dose","One Dose Change","Fully Vaccinated","Full Vacc. Change","Booster","Booster Change","Portion Full Vacc. w/ Booster","Full Vacc. Boosted Change")) %>%
  kable_minimal(full_width = F) %>%
  column_spec(1,width_min = "6em") %>%
  scroll_box(width = "100%", height = "500px")

Expand the sections below for charts and information about the share of the population receiving each dose.

One Dose

The chart below contains the percent of the total population receiving first doses. Note that this does not include Federal doses administered (see discussion at the top of this page). 

  cumulative_one_dose_total

The chart below shows the daily percentage change in the total population receiving the first dose per day, using a seven day rolling average. 

  rolling_one_dose_total

The following charts provide the percent of the population vaccinated with one dose by age. 

  cumulative_one_dose_eleven

  cumulative_one_dose_young

  cumulative_one_dose_old

The following charts show the daily percentage change in each age group receiving the first dose per day, using a seven day rolling average. 

  rolling_one_dose_eleven

  rolling_one_dose_young

  rolling_one_dose_old

Fully Vaccinated

The chart below contains the percent of the total population fully vaccinated (two doses for Pfizer and Moderna, one dose for J&J, etc.). Note that this does not include Federal doses administered (see discussion at the top of this page). 

  cumulative_full_vax_total

The chart below shows the daily percentage change in the total population fully vaccinated, using a seven day rolling average. 

  rolling_full_vax_total

The following charts provide the percent of the population fully vaccinated by age. 

  cumulative_full_vax_eleven

  cumulative_full_vax_young

  cumulative_full_vax_old

The following charts show the daily percentage change in each age group fully vaccinated per day, using a seven day rolling average. 

  rolling_full_vax_eleven

  rolling_full_vax_young

  rolling_full_vax_old

Boosters

The chart below contains the percent of the total population receiving booster doses (a third dose for Pfizer and Moderna, a second dose for J&J, etc.). Note that this does not include Federal doses administered (see discussion at the top of this page). 

  cumulative_booster_total

The chart below shows the daily percentage change in the total population with a booster dose, using a seven day rolling average. 

  rolling_booster_total

The chart below contains the percent of the total population receiving booster doses as a percentage of the total population fully vaccinated. Note that this does not include Federal doses administered (see discussion at the top of this page). 

  cumulative_booster_full_total

The chart below shows the daily percentage change in the percent of the fully vaccinated who have received a booster dose, using a seven day rolling average. 

  rolling_booster_full_total

The following charts provide the percent of the population with a booster dose by age. 

  cumulative_booster_eleven

  cumulative_booster_young

  cumulative_booster_old

The following charts show the daily percentage change in each age group with a booster dose per day, using a seven day rolling average. 

  rolling_booster_eleven

  rolling_booster_young

  rolling_booster_old

Tables

The table below shows the percentage of each age group having received one dose over time. 

  one_dose_table_output
Date 5-11 12-15 16-17 18-24 25-34 35-44 45-54 55-64 65-74 75-84 85+
2021-12-15 27.1% 69.3% 72.5% 70.3% 72.0% 80.2% 81.2% 87.7% 96.9% 96.1% 86.2%
2021-12-14 26.8% 69.2% 72.5% 70.2% 71.9% 80.1% 81.2% 87.6% 96.8% 96.0% 86.1%
2021-12-13 26.6% 69.2% 72.4% 70.1% 71.8% 80.0% 81.1% 87.5% 96.8% 96.0% 86.1%
2021-12-12 26.3% 69.1% 72.4% 70.1% 71.7% 80.0% 81.0% 87.5% 96.8% 96.0% 86.1%
2021-12-11 26.1% 69.1% 72.3% 70.0% 71.6% 79.9% 80.9% 87.4% 96.7% 95.9% 86.0%
2021-12-10 25.7% 69.0% 72.3% 69.9% 71.5% 79.8% 80.9% 87.3% 96.7% 95.9% 86.0%
2021-12-09 25.4% 68.9% 72.3% 69.8% 71.3% 79.6% 80.7% 87.2% 96.6% 95.8% 85.9%
2021-12-08 25.0% 68.9% 72.2% 69.7% 71.3% 79.5% 80.7% 87.1% 96.5% 95.7% 85.9%
2021-12-07 24.6% 68.8% 72.2% 69.6% 71.1% 79.4% 80.5% 87.0% 96.4% 95.6% 85.8%
2021-12-06 24.5% 68.8% 72.2% 69.6% 71.1% 79.4% 80.5% 87.0% 96.4% 95.6% 85.8%
2021-12-05 24.2% 68.7% 72.1% 69.6% 71.1% 79.5% 80.8% 87.5% 97.1% 96.1% 86.1%
2021-12-04 23.7% 68.7% 72.1% 69.5% 71.0% 79.3% 80.6% 87.4% 97.1% 96.1% 86.1%
2021-12-03 23.3% 68.6% 72.0% 69.4% 70.8% 79.2% 80.5% 87.2% 96.9% 96.0% 86.0%
2021-12-02 22.9% 68.5% 72.0% 69.3% 70.7% 79.0% 80.4% 87.1% 96.8% 95.8% 85.9%
2021-12-01 22.5% 68.5% 72.0% 69.2% 70.5% 78.9% 80.3% 86.9% 96.7% 95.7% 85.8%
2021-11-30 22.2% 68.4% 71.9% 69.1% 70.4% 78.8% 80.2% 86.8% 96.6% 95.6% 85.7%
2021-11-29 21.9% 68.4% 71.9% 69.1% 70.4% 78.8% 80.1% 86.8% 96.5% 95.6% 85.6%
2021-11-28 21.7% 68.3% 71.9% 69.0% 70.3% 78.7% 80.0% 86.7% 96.5% 95.5% 85.6%
2021-11-27 21.4% 68.3% 71.8% 68.9% 70.2% 78.6% 80.0% 86.6% 96.4% 95.5% 85.5%
2021-11-26 21.2% 68.3% 71.8% 68.9% 70.2% 78.6% 79.9% 86.6% 96.4% 95.5% 85.5%
2021-11-25 20.9% 68.2% 71.8% 68.8% 70.1% 78.5% 79.9% 86.5% 96.4% 95.4% 85.5%
2021-11-24 20.0% 68.1% 71.7% 68.7% 69.9% 78.3% 79.8% 86.4% 96.3% 95.3% 85.4%
2021-11-23 19.2% 68.0% 71.7% 68.5% 69.8% 78.2% 79.6% 86.2% 96.1% 95.2% 85.3%
2021-11-22 18.7% 68.0% 71.7% 68.5% 69.7% 78.1% 79.6% 86.2% 96.1% 95.1% 85.2%
2021-11-21 18.1% 67.9% 71.6% 68.4% 69.6% 78.1% 79.5% 86.1% 96.0% 95.1% 85.2%
2021-11-20 16.8% 67.8% 71.6% 68.3% 69.5% 77.9% 79.4% 85.9% 95.9% 95.0% 85.1%
2021-11-19 16.0% 67.8% 71.5% 68.3% 69.4% 77.8% 79.3% 85.8% 95.8% 94.8% 85.0%
2021-11-18 15.0% 67.7% 71.5% 68.2% 69.3% 77.7% 79.2% 85.7% 95.6% 94.7% 84.8%
2021-11-17 14.0% 67.3% 71.3% 68.0% 69.1% 77.5% 79.0% 85.5% 95.4% 94.5% 84.6%
2021-11-16 13.0% 67.2% 71.3% 67.9% 69.0% 77.4% 78.9% 85.4% 95.3% 94.4% 84.5%
2021-11-15 12.4% 67.2% 71.2% 67.9% 68.9% 77.2% 78.7% 85.1% 94.8% 94.0% 84.2%
2021-11-14 11.4% 67.1% 71.2% 67.8% 68.8% 77.2% 78.6% 85.0% 94.8% 94.0% 84.2%
2021-11-13 9.2% 67.0% 71.1% 67.7% 68.7% 77.0% 78.5% 84.9% 94.7% 93.9% 84.1%
2021-11-12 8.1% 66.9% 71.1% 67.7% 68.6% 77.0% 78.5% 84.9% 94.6% 93.8% 84.0%
2021-11-11 6.5% 66.8% 71.1% 67.6% 68.5% 76.9% 78.4% 84.8% 94.5% 93.7% 84.0%
2021-11-10 6.5% 66.8% 71.1% 67.6% 68.5% 76.9% 78.4% 84.8% 94.5% 93.7% 84.0%
2021-11-09 NA 66.6% 71.5% 67.4% 68.3% 76.6% 78.2% 84.6% 94.3% 93.4% 83.7%
2021-11-08 NA 66.6% 71.4% 67.4% 68.2% 76.6% 78.2% 84.5% 94.2% 93.4% 83.7%
2021-11-07 NA 66.5% 71.4% 67.3% 68.1% 76.5% 78.1% 84.4% 94.1% 93.3% 83.6%
2021-11-06 NA 66.4% 71.3% 67.2% 67.9% 76.3% 78.0% 84.3% 94.0% 93.2% 83.5%
2021-11-05 NA 66.3% 71.3% 67.1% 67.9% 76.3% 77.9% 84.2% 93.9% 93.1% 83.4%
2021-11-04 NA 66.3% 71.3% 67.1% 67.8% 76.2% 77.8% 84.2% 93.8% 92.9% 83.3%
2021-11-03 NA 66.2% 71.2% 67.0% 67.7% 76.1% 77.7% 84.1% 93.7% 92.8% 83.2%
2021-11-02 NA 66.1% 71.2% 66.9% 67.6% 76.0% 77.7% 84.0% 93.5% 92.7% 83.1%
2021-11-01 NA 66.1% 71.1% 66.9% 67.5% 75.9% 77.6% 83.9% 93.4% 92.6% 83.0%
2021-10-31 NA 66.0% 71.1% 66.8% 67.4% 75.9% 77.5% 83.9% 93.4% 92.5% 83.0%
2021-10-30 NA 65.9% 71.1% 66.8% 67.3% 75.8% 77.5% 83.8% 93.3% 92.4% 82.9%
2021-10-29 NA 65.9% 71.0% 66.7% 67.2% 75.6% 77.4% 83.7% 93.1% 92.3% 82.8%
2021-10-28 NA 65.8% 71.0% 66.6% 67.1% 75.5% 77.3% 83.6% 92.9% 92.1% 82.7%
2021-10-27 NA 65.7% 70.9% 66.5% 66.9% 75.4% 77.2% 83.5% 92.7% 91.9% 82.5%
2021-10-26 NA 65.6% 70.8% 66.4% 66.8% 75.3% 77.0% 83.4% 92.5% 91.7% 82.4%
2021-10-24 NA 65.5% 70.8% 66.3% 66.6% 75.1% 76.9% 83.2% 92.3% 91.6% 82.3%
2021-10-23 NA 65.5% 70.7% 66.2% 66.6% 75.1% 76.9% 83.2% 92.3% 91.5% 82.2%
2021-10-22 NA 65.4% 70.7% 66.1% 66.5% 75.0% 76.8% 83.1% 92.2% 91.4% 82.1%
2021-10-21 NA 65.3% 70.6% 66.1% 66.4% 74.9% 76.7% 83.0% 92.1% 91.4% 82.1%
2021-10-20 NA 65.2% 70.5% 66.0% 66.2% 74.8% 76.6% 83.0% 92.1% 91.3% 82.0%
2021-10-19 NA 65.1% 70.4% 65.9% 66.1% 74.6% 76.5% 82.9% 92.0% 91.2% 82.0%
2021-10-18 NA 65.0% 70.4% 65.8% 66.0% 74.5% 76.5% 82.8% 91.9% 91.1% 81.9%
2021-10-17 NA 64.9% 70.4% 65.7% 65.9% 74.5% 76.4% 82.8% 91.9% 91.1% 81.9%
2021-10-16 NA 64.8% 70.3% 65.7% 65.8% 74.4% 76.4% 82.7% 91.9% 91.1% 81.9%
2021-10-15 NA 64.7% 70.2% 65.5% 65.6% 74.3% 76.2% 82.6% 91.8% 91.0% 81.8%
2021-10-14 NA 64.6% 70.2% 65.4% 65.5% 74.2% 76.2% 82.5% 91.7% 90.9% 81.7%
2021-10-13 NA 64.6% 70.1% 65.3% 65.4% 74.0% 76.1% 82.4% 91.6% 90.8% 81.6%
2021-10-12 NA 64.5% 70.0% 65.2% 65.2% 73.9% 76.0% 82.3% 91.5% 90.7% 81.6%
2021-10-11 NA 64.4% 70.0% 65.3% 65.3% 74.0% 76.1% 82.6% 91.7% 91.0% 81.8%
2021-10-10 NA 64.4% 70.0% 65.3% 65.2% 74.0% 76.1% 82.5% 91.7% 91.0% 81.8%
2021-10-09 NA 64.3% 69.9% 65.2% 65.1% 73.9% 76.0% 82.5% 91.7% 90.9% 81.7%
2021-10-08 NA 64.2% 69.9% 65.1% 65.0% 73.8% 75.9% 82.4% 91.5% 90.8% 81.6%
2021-10-06 NA 63.9% 69.7% 64.8% 64.7% 73.5% 75.7% 82.2% 91.3% 90.6% 81.5%
2021-10-05 NA 63.8% 69.6% 64.8% 64.6% 73.4% 75.7% 82.1% 91.3% 90.5% 81.4%
2021-10-04 NA 63.7% 69.5% 64.7% 64.5% 73.4% 75.6% 82.1% 91.2% 90.4% 81.3%
2021-10-03 NA 63.7% 69.5% 64.7% 64.5% 73.3% 75.5% 82.0% 91.1% 90.4% 81.2%
2021-09-30 NA 63.4% 69.3% 64.5% 64.2% 73.1% 75.4% 81.9% 90.9% 90.2% 81.1%
2021-09-29 NA 63.3% 69.3% 64.4% 64.1% 73.0% 75.3% 81.8% 90.8% 90.1% 81.0%
2021-09-28 NA 63.3% 69.2% 64.3% 64.0% 72.9% 75.2% 81.8% 90.7% 90.0% 81.0%
2021-09-27 NA 63.2% 69.1% 64.2% 64.0% 72.8% 75.1% 81.7% 90.6% 89.9% 80.9%
2021-09-26 NA 63.0% 69.0% 64.1% 63.8% 72.7% 75.1% 81.6% 90.6% 89.8% 80.9%
2021-09-25 NA 62.9% 68.9% 64.0% 63.8% 72.7% 75.0% 81.6% 90.5% 89.8% 80.8%
2021-09-24 NA 62.7% 68.8% 63.9% 63.6% 72.5% 74.9% 81.5% 90.4% 89.7% 80.8%
2021-09-23 NA 62.6% 68.7% 63.8% 63.5% 72.4% 74.8% 81.4% 90.4% 89.6% 80.8%
2021-09-22 NA 62.5% 68.6% 63.7% 63.4% 72.3% 74.8% 81.3% 90.3% 89.6% 80.7%
2021-09-20 NA 66.1% 70.9% 65.1% 64.3% 73.3% 75.6% 82.1% 90.9% 90.1% 81.1%
2021-09-19 NA 65.9% 70.8% 65.0% 64.2% 73.2% 75.6% 82.0% 90.9% 90.0% 81.1%
2021-09-18 NA 65.7% 70.6% 64.8% 64.0% 73.0% 75.4% 81.9% 90.8% 90.0% 81.1%
2021-09-17 NA 61.6% 67.9% 63.0% 62.5% 71.5% 74.0% 80.7% 89.8% 89.1% 80.4%
2021-09-16 NA 61.5% 67.9% 62.8% 62.1% 71.2% 73.9% 80.7% 90.0% 89.4% 80.6%
2021-09-15 NA 61.4% 67.7% 62.6% 61.9% 71.0% 73.8% 80.6% 89.9% 89.4% 80.6%
2021-09-14 NA 61.2% 67.6% 62.5% 61.8% 70.9% 73.7% 80.5% 89.9% 89.3% 80.5%
2021-09-13 NA 61.1% 67.5% 62.4% 61.6% 70.8% 73.6% 80.4% 89.8% 89.3% 80.5%
2021-09-12 NA 60.9% 67.3% 62.3% 61.5% 70.7% 73.5% 80.4% 89.8% 89.3% 80.5%
2021-09-11 NA 60.7% 67.2% 62.2% 61.4% 70.6% 73.4% 80.3% 89.7% 89.2% 80.5%
2021-09-10 NA 60.5% 67.0% 62.0% 61.2% 70.4% 73.3% 80.2% 89.7% 89.1% 80.4%
2021-09-09 NA 60.3% 66.9% 61.9% 61.0% 70.3% 73.2% 80.1% 89.6% 89.1% 80.4%
2021-09-08 NA 60.0% 66.7% 61.7% 60.9% 70.1% 73.1% 80.0% 89.5% 89.0% 80.3%
2021-09-07 NA 59.9% 66.6% 61.6% 60.8% 70.1% 73.0% 79.9% 89.5% 89.0% 80.3%
2021-09-06 NA 59.7% 66.5% 61.6% 60.7% 70.0% 72.9% 79.9% 89.4% 89.0% 80.3%
2021-09-05 NA 59.6% 66.3% 61.5% 60.6% 69.9% 72.9% 79.8% 89.4% 88.9% 80.3%
2021-09-04 NA 59.6% 66.3% 61.5% 60.6% 69.9% 72.9% 79.8% 89.4% 88.9% 80.3%
2021-09-03 NA 59.0% 65.9% 61.2% 60.3% 69.7% 72.7% 79.6% 89.3% 88.8% 80.2%
2021-09-02 NA 58.7% 65.7% 61.0% 60.1% 69.5% 72.5% 79.5% 89.2% 88.8% 80.1%
2021-09-01 NA 58.5% 65.5% 60.8% 59.9% 69.3% 72.4% 79.4% 89.1% 88.7% 80.1%
2021-08-31 NA 58.3% 65.4% 60.7% 59.8% 69.2% 72.3% 79.3% 89.1% 88.6% 80.0%
2021-08-30 NA 58.1% 65.2% 60.6% 59.7% 69.1% 72.2% 79.3% 89.0% 88.6% 80.0%
2021-08-29 NA 57.9% 65.0% 60.4% 59.5% 69.0% 72.1% 79.2% 89.0% 88.6% 80.0%
2021-08-28 NA 57.6% 64.9% 60.3% 59.4% 68.8% 72.0% 79.1% 88.9% 88.5% 79.9%
2021-08-27 NA 57.2% 64.6% 60.1% 59.1% 68.6% 71.8% 78.9% 88.8% 88.4% 79.9%
2021-08-26 NA 56.9% 64.4% 59.9% 59.0% 68.5% 71.7% 78.8% 88.7% 88.4% 79.8%
2021-08-25 NA 56.6% 64.2% 59.7% 58.8% 68.3% 71.5% 78.7% 88.6% 88.3% 79.8%
2021-08-24 NA 56.3% 63.9% 59.6% 58.6% 68.1% 71.4% 78.6% 88.5% 88.2% 79.7%
2021-08-23 NA 56.0% 63.7% 59.4% 58.5% 68.0% 71.3% 78.5% 88.5% 88.2% 79.7%
2021-08-22 NA 55.8% 63.6% 59.3% 58.4% 67.9% 71.2% 78.5% 88.4% 88.1% 79.7%
2021-08-21 NA 55.5% 63.4% 59.2% 58.2% 67.7% 71.1% 78.4% 88.4% 88.1% 79.6%
2021-08-20 NA 55.2% 63.1% 59.1% 58.1% 67.6% 71.0% 78.3% 88.3% 88.0% 79.6%
2021-08-19 NA 54.8% 62.9% 58.9% 57.9% 67.4% 70.9% 78.1% 88.2% 87.9% 79.6%
2021-08-18 NA 54.4% 62.6% 58.7% 57.7% 67.2% 70.7% 78.0% 88.1% 87.9% 79.5%
2021-08-17 NA 54.2% 62.5% 58.6% 57.6% 67.1% 70.6% 77.9% 88.1% 87.8% 79.5%
2021-08-16 NA 53.9% 62.3% 58.4% 57.5% 67.0% 70.5% 77.9% 88.0% 87.8% 79.4%
2021-08-15 NA 53.6% 62.1% 58.3% 57.4% 66.9% 70.4% 77.8% 88.0% 87.7% 79.4%
2021-08-14 NA 53.2% 61.8% 58.1% 57.2% 66.7% 70.3% 77.7% 87.9% 87.7% 79.4%
2021-08-13 NA 52.9% 61.6% 58.0% 57.1% 66.6% 70.2% 77.6% 87.8% 87.6% 79.4%
2021-08-12 NA 52.2% 61.2% 57.7% 56.8% 66.3% 69.9% 77.4% 87.7% 87.6% 79.3%
2021-08-11 NA 51.9% 61.0% 57.6% 56.7% 66.2% 69.8% 77.3% 87.6% 87.5% 79.2%
2021-08-10 NA 51.6% 60.8% 57.4% 56.5% 66.1% 69.7% 77.2% 87.6% 87.5% 79.2%
2021-08-09 NA 51.3% 60.5% 57.2% 56.4% 65.9% 69.6% 77.0% 87.5% 87.4% 79.1%
2021-08-08 NA 51.0% 60.3% 57.1% 56.2% 65.8% 69.5% 76.9% 87.4% 87.3% 79.1%
2021-08-07 NA 50.6% 60.1% 56.9% 56.1% 65.6% 69.3% 76.8% 87.4% 87.3% 79.1%
2021-08-06 NA 50.2% 59.8% 56.7% 55.9% 65.4% 69.2% 76.7% 87.3% 87.2% 79.0%
2021-08-05 NA 49.8% 59.5% 56.6% 55.7% 65.3% 69.0% 76.6% 87.2% 87.1% 79.0%
2021-08-04 NA 49.4% 59.2% 56.4% 55.6% 65.1% 68.9% 76.5% 87.1% 87.1% 78.9%
2021-08-03 NA 49.0% 58.9% 56.2% 55.4% 65.0% 68.7% 76.3% 87.0% 87.0% 78.9%
2021-08-02 NA 48.7% 58.7% 56.1% 55.3% 64.8% 68.6% 76.2% 87.0% 87.0% 78.9%
2021-08-01 NA 48.5% 58.6% 55.9% 55.2% 64.7% 68.6% 76.2% 87.0% 87.0% 78.9%
2021-07-31 NA 48.2% 58.4% 55.8% 55.0% 64.6% 68.4% 76.1% 86.9% 86.9% 78.8%
2021-07-30 NA 47.9% 58.1% 55.6% 54.9% 64.4% 68.3% 76.0% 86.8% 86.9% 78.8%
2021-07-29 NA 47.4% 57.8% 55.4% 54.7% 64.3% 68.2% 75.8% 86.7% 86.8% 78.7%
2021-07-28 NA 47.1% 57.6% 55.2% 54.6% 64.1% 68.0% 75.7% 86.7% 86.7% 78.7%
2021-07-27 NA 46.7% 57.4% 55.1% 54.5% 64.0% 67.9% 75.6% 86.6% 86.7% 78.6%
2021-07-26 NA 46.5% 57.2% 55.0% 54.4% 63.9% 67.8% 75.5% 86.5% 86.6% 78.6%
2021-07-25 NA 46.3% 57.0% 54.9% 54.3% 63.8% 67.8% 75.5% 86.5% 86.6% 78.6%
2021-07-24 NA 46.0% 56.8% 54.7% 54.2% 63.7% 67.7% 75.4% 86.5% 86.6% 78.6%

The table below shows the daily percentage change in the percent of each age group with one dose, using a seven day rolling average. 

  one_dose_rolling_table_output
Date 5-11 12-15 16-17 18-24 25-34 35-44 45-54 55-64 65-74 75-84 85+
2021-12-15 0.297% 0.057% 0.043% 0.088% 0.112% 0.099% 0.083% 0.079% 0.055% 0.052% 0.044%
2021-12-14 0.313% 0.059% 0.042% 0.085% 0.114% 0.102% 0.087% 0.084% 0.060% 0.057% 0.047%
2021-12-13 0.302% 0.056% 0.036% 0.078% 0.105% 0.096% 0.082% 0.080% 0.058% 0.054% 0.045%
2021-12-12 0.306% 0.056% 0.035% 0.069% 0.091% 0.070% 0.038% -0.005% -0.053% -0.025% -0.009%
2021-12-11 0.336% 0.056% 0.033% 0.069% 0.090% 0.073% 0.042% 0.001% -0.049% -0.023% -0.009%
2021-12-10 0.351% 0.059% 0.037% 0.073% 0.097% 0.078% 0.049% 0.011% -0.041% -0.016% -0.002%
2021-12-09 0.356% 0.058% 0.039% 0.073% 0.098% 0.082% 0.053% 0.018% -0.033% -0.010% 0.007%
2021-12-08 0.364% 0.059% 0.038% 0.076% 0.103% 0.087% 0.059% 0.027% -0.024% 0.000% 0.014%
2021-12-07 0.346% 0.054% 0.036% 0.071% 0.094% 0.081% 0.055% 0.025% -0.025% 0.001% 0.016%
2021-12-06 0.371% 0.057% 0.038% 0.075% 0.099% 0.086% 0.060% 0.031% -0.018% 0.008% 0.022%
2021-12-05 0.360% 0.054% 0.037% 0.083% 0.112% 0.111% 0.103% 0.116% 0.093% 0.087% 0.077%
2021-12-04 0.333% 0.052% 0.036% 0.082% 0.107% 0.105% 0.096% 0.110% 0.088% 0.084% 0.076%
2021-12-03 0.290% 0.046% 0.031% 0.072% 0.091% 0.090% 0.081% 0.093% 0.076% 0.073% 0.067%
2021-12-02 0.287% 0.043% 0.025% 0.066% 0.079% 0.077% 0.069% 0.079% 0.061% 0.059% 0.054%
2021-12-01 0.359% 0.049% 0.032% 0.076% 0.089% 0.083% 0.071% 0.081% 0.060% 0.058% 0.056%
2021-11-30 0.428% 0.054% 0.034% 0.082% 0.095% 0.088% 0.075% 0.086% 0.063% 0.062% 0.058%
2021-11-29 0.445% 0.055% 0.034% 0.082% 0.094% 0.087% 0.075% 0.086% 0.064% 0.062% 0.060%
2021-11-28 0.506% 0.061% 0.036% 0.083% 0.097% 0.091% 0.079% 0.090% 0.066% 0.065% 0.061%
2021-11-27 0.654% 0.066% 0.039% 0.083% 0.102% 0.099% 0.084% 0.097% 0.074% 0.072% 0.066%
2021-11-26 0.754% 0.073% 0.042% 0.088% 0.112% 0.109% 0.093% 0.108% 0.090% 0.087% 0.080%
2021-11-25 0.834% 0.078% 0.044% 0.089% 0.117% 0.115% 0.099% 0.114% 0.104% 0.103% 0.093%
2021-11-24 0.859% 0.122% 0.061% 0.091% 0.121% 0.119% 0.105% 0.118% 0.118% 0.118% 0.113%
2021-11-23 0.876% 0.120% 0.060% 0.086% 0.115% 0.114% 0.100% 0.112% 0.116% 0.114% 0.113%
2021-11-22 0.900% 0.118% 0.060% 0.088% 0.121% 0.129% 0.125% 0.156% 0.179% 0.157% 0.139%
2021-11-21 0.966% 0.117% 0.059% 0.086% 0.118% 0.126% 0.122% 0.152% 0.178% 0.157% 0.138%
2021-11-20 1.083% 0.122% 0.061% 0.088% 0.119% 0.126% 0.121% 0.148% 0.178% 0.157% 0.140%
2021-11-19 1.127% 0.119% 0.060% 0.084% 0.113% 0.120% 0.115% 0.140% 0.168% 0.147% 0.132%
2021-11-18 1.217% 0.119% 0.059% 0.082% 0.110% 0.118% 0.112% 0.136% 0.161% 0.140% 0.126%
2021-11-17 1.064% 0.061% 0.033% 0.059% 0.080% 0.090% 0.087% 0.111% 0.131% 0.108% 0.090%
2021-11-16 NA 0.084% -0.031% 0.077% 0.104% 0.111% 0.105% 0.127% 0.155% 0.139% 0.110%
2021-11-15 NA 0.085% -0.030% 0.072% 0.094% 0.094% 0.077% 0.078% 0.088% 0.092% 0.080%
2021-11-14 NA 0.088% -0.028% 0.076% 0.103% 0.101% 0.082% 0.084% 0.095% 0.099% 0.084%
2021-11-13 NA 0.084% -0.028% 0.076% 0.102% 0.100% 0.082% 0.084% 0.098% 0.102% 0.085%
2021-11-12 NA 0.085% -0.025% 0.077% 0.105% 0.103% 0.085% 0.087% 0.103% 0.105% 0.086%
2021-11-11 NA 0.081% -0.026% 0.075% 0.106% 0.102% 0.084% 0.086% 0.108% 0.113% 0.091%
2021-11-10 NA 0.088% -0.023% 0.084% 0.117% 0.114% 0.094% 0.097% 0.123% 0.127% 0.104%
2021-11-09 NA 0.071% 0.043% 0.066% 0.096% 0.093% 0.076% 0.080% 0.102% 0.101% 0.085%
2021-11-08 NA 0.073% 0.043% 0.069% 0.101% 0.095% 0.079% 0.083% 0.109% 0.109% 0.092%
2021-11-07 NA 0.068% 0.042% 0.065% 0.095% 0.088% 0.075% 0.079% 0.107% 0.106% 0.091%
2021-11-06 NA 0.064% 0.039% 0.061% 0.090% 0.084% 0.071% 0.076% 0.104% 0.105% 0.086%
2021-11-05 NA 0.066% 0.040% 0.065% 0.093% 0.088% 0.074% 0.079% 0.112% 0.113% 0.091%
2021-11-04 NA 0.066% 0.041% 0.068% 0.097% 0.091% 0.078% 0.082% 0.119% 0.115% 0.094%
2021-11-03 NA 0.070% 0.046% 0.076% 0.109% 0.099% 0.084% 0.089% 0.134% 0.131% 0.102%
2021-11-02 NA 0.068% 0.046% 0.080% 0.113% 0.103% 0.089% 0.092% 0.145% 0.140% 0.107%
2021-11-01 NA 0.076% 0.053% 0.086% 0.122% 0.111% 0.095% 0.099% 0.155% 0.148% 0.107%
2021-10-31 NA 0.078% 0.054% 0.086% 0.121% 0.111% 0.094% 0.096% 0.153% 0.147% 0.106%
2021-10-30 NA 0.083% 0.059% 0.089% 0.123% 0.112% 0.096% 0.097% 0.151% 0.146% 0.108%
2021-10-29 NA 0.086% 0.060% 0.088% 0.121% 0.109% 0.092% 0.093% 0.138% 0.134% 0.100%
2021-10-28 NA 0.093% 0.065% 0.091% 0.124% 0.110% 0.091% 0.091% 0.125% 0.122% 0.089%
2021-10-27 NA 0.096% 0.066% 0.090% 0.121% 0.108% 0.089% 0.086% 0.107% 0.105% 0.078%
2021-10-26 NA 0.094% 0.066% 0.086% 0.116% 0.103% 0.083% 0.077% 0.085% 0.085% 0.063%
2021-10-24 NA 0.085% 0.059% 0.079% 0.103% 0.092% 0.073% 0.066% 0.064% 0.066% 0.051%
2021-10-23 NA 0.089% 0.060% 0.083% 0.110% 0.095% 0.075% 0.068% 0.062% 0.063% 0.051%
2021-10-22 NA 0.089% 0.061% 0.089% 0.117% 0.101% 0.078% 0.070% 0.062% 0.064% 0.054%
2021-10-21 NA 0.089% 0.061% 0.090% 0.119% 0.104% 0.080% 0.072% 0.064% 0.067% 0.057%
2021-10-20 NA 0.087% 0.061% 0.090% 0.124% 0.109% 0.082% 0.075% 0.068% 0.069% 0.057%
2021-10-19 NA 0.086% 0.061% 0.088% 0.119% 0.106% 0.080% 0.075% 0.071% 0.070% 0.059%
2021-10-18 NA 0.082% 0.051% 0.073% 0.101% 0.076% 0.049% 0.037% 0.026% 0.016% 0.018%
2021-10-17 NA 0.079% 0.051% 0.069% 0.096% 0.073% 0.046% 0.035% 0.025% 0.015% 0.017%
2021-10-16 NA 0.084% 0.054% 0.071% 0.098% 0.075% 0.048% 0.037% 0.028% 0.018% 0.017%
2021-10-15 NA 0.084% 0.054% 0.064% 0.092% 0.072% 0.048% 0.036% 0.031% 0.021% 0.018%
2021-10-14 NA 0.105% 0.069% 0.085% 0.116% 0.092% 0.065% 0.051% 0.051% 0.041% 0.033%
2021-10-13 NA 0.103% 0.068% 0.078% 0.102% 0.080% 0.057% 0.044% 0.047% 0.037% 0.031%
2021-10-12 NA 0.103% 0.069% 0.075% 0.099% 0.077% 0.055% 0.041% 0.047% 0.039% 0.042%
2021-10-11 NA 0.108% 0.078% 0.088% 0.112% 0.103% 0.084% 0.076% 0.090% 0.091% 0.080%
2021-10-10 NA 0.133% 0.094% 0.114% 0.145% 0.129% 0.106% 0.093% 0.113% 0.118% 0.097%
2021-10-09 NA 0.132% 0.096% 0.115% 0.144% 0.127% 0.106% 0.093% 0.120% 0.126% 0.103%
2021-10-08 NA 0.127% 0.095% 0.111% 0.136% 0.120% 0.099% 0.088% 0.115% 0.121% 0.095%
2021-10-06 NA 0.108% 0.083% 0.090% 0.109% 0.097% 0.081% 0.072% 0.097% 0.104% 0.079%
2021-10-05 NA 0.123% 0.090% 0.096% 0.115% 0.101% 0.084% 0.072% 0.099% 0.106% 0.078%
2021-10-04 NA 0.122% 0.087% 0.097% 0.113% 0.098% 0.082% 0.069% 0.090% 0.095% 0.059%
2021-10-03 NA 0.135% 0.096% 0.108% 0.126% 0.110% 0.090% 0.078% 0.095% 0.099% 0.063%
2021-09-30 NA 0.121% 0.088% 0.092% 0.106% 0.093% 0.076% 0.070% 0.079% 0.078% 0.050%
2021-09-29 NA 0.122% 0.090% 0.093% 0.106% 0.095% 0.076% 0.070% 0.071% 0.069% 0.045%
2021-09-28 NA -0.400% -0.248% -0.109% -0.031% -0.052% -0.059% -0.049% -0.022% -0.012% -0.021%
2021-09-27 NA -0.395% -0.245% -0.109% -0.032% -0.053% -0.061% -0.052% -0.031% -0.023% -0.027%
2021-09-26 NA -0.387% -0.233% -0.099% -0.019% -0.041% -0.050% -0.044% -0.033% -0.028% -0.031%
2021-09-25 NA 0.179% 0.147% 0.148% 0.181% 0.172% 0.140% 0.126% 0.098% 0.089% 0.058%
2021-09-24 NA 0.166% 0.135% 0.159% 0.214% 0.187% 0.141% 0.113% 0.059% 0.035% 0.022%
2021-09-23 NA 0.173% 0.144% 0.166% 0.227% 0.200% 0.150% 0.120% 0.063% 0.037% 0.024%
2021-09-22 NA 0.178% 0.147% 0.169% 0.231% 0.202% 0.153% 0.120% 0.064% 0.037% 0.025%
2021-09-20 NA 0.713% 0.495% 0.377% 0.375% 0.353% 0.291% 0.241% 0.154% 0.112% 0.087%
2021-09-19 NA 0.717% 0.499% 0.380% 0.377% 0.355% 0.293% 0.241% 0.154% 0.112% 0.087%
2021-09-18 NA 0.714% 0.491% 0.375% 0.372% 0.350% 0.289% 0.239% 0.152% 0.112% 0.090%
2021-09-17 NA 0.165% 0.123% 0.138% 0.184% 0.148% 0.106% 0.075% 0.025% -0.002% 0.002%
2021-09-16 NA 0.182% 0.139% 0.130% 0.153% 0.133% 0.105% 0.088% 0.062% 0.052% 0.038%
2021-09-15 NA 0.196% 0.148% 0.133% 0.150% 0.128% 0.103% 0.085% 0.060% 0.050% 0.039%
2021-09-14 NA 0.193% 0.144% 0.127% 0.141% 0.120% 0.096% 0.082% 0.057% 0.047% 0.035%
2021-09-13 NA 0.191% 0.142% 0.123% 0.135% 0.115% 0.092% 0.077% 0.053% 0.044% 0.033%
2021-09-12 NA 0.192% 0.141% 0.124% 0.134% 0.113% 0.091% 0.076% 0.053% 0.044% 0.032%
2021-09-11 NA 0.161% 0.123% 0.103% 0.109% 0.092% 0.074% 0.062% 0.045% 0.038% 0.027%
2021-09-10 NA 0.213% 0.157% 0.125% 0.130% 0.108% 0.089% 0.074% 0.053% 0.045% 0.034%
2021-09-09 NA 0.225% 0.166% 0.132% 0.135% 0.116% 0.094% 0.077% 0.057% 0.046% 0.036%
2021-09-08 NA 0.219% 0.163% 0.131% 0.134% 0.115% 0.093% 0.077% 0.056% 0.046% 0.034%
2021-09-07 NA 0.229% 0.171% 0.137% 0.141% 0.123% 0.099% 0.082% 0.058% 0.048% 0.036%
2021-09-06 NA 0.238% 0.182% 0.143% 0.147% 0.129% 0.105% 0.088% 0.064% 0.052% 0.039%
2021-09-05 NA 0.243% 0.183% 0.144% 0.149% 0.133% 0.108% 0.090% 0.065% 0.053% 0.040%
2021-09-04 NA 0.283% 0.210% 0.168% 0.175% 0.155% 0.126% 0.105% 0.074% 0.060% 0.046%
2021-09-03 NA 0.257% 0.192% 0.155% 0.164% 0.149% 0.123% 0.101% 0.072% 0.056% 0.041%
2021-09-02 NA 0.252% 0.191% 0.149% 0.161% 0.146% 0.123% 0.100% 0.070% 0.055% 0.041%
2021-09-01 NA 0.267% 0.198% 0.151% 0.162% 0.151% 0.125% 0.103% 0.072% 0.058% 0.042%
2021-08-31 NA 0.281% 0.210% 0.157% 0.167% 0.157% 0.130% 0.107% 0.076% 0.062% 0.045%
2021-08-30 NA 0.288% 0.207% 0.159% 0.168% 0.160% 0.132% 0.108% 0.076% 0.062% 0.045%
2021-08-29 NA 0.289% 0.208% 0.159% 0.165% 0.159% 0.129% 0.106% 0.075% 0.062% 0.046%
2021-08-28 NA 0.298% 0.213% 0.156% 0.163% 0.158% 0.128% 0.105% 0.075% 0.062% 0.043%
2021-08-27 NA 0.289% 0.207% 0.147% 0.150% 0.148% 0.118% 0.098% 0.071% 0.059% 0.041%
2021-08-26 NA 0.303% 0.211% 0.147% 0.146% 0.146% 0.117% 0.098% 0.071% 0.061% 0.039%
2021-08-25 NA 0.315% 0.221% 0.152% 0.148% 0.147% 0.119% 0.099% 0.072% 0.061% 0.038%
2021-08-24 NA 0.303% 0.207% 0.145% 0.140% 0.141% 0.112% 0.094% 0.068% 0.059% 0.035%
2021-08-23 NA 0.303% 0.206% 0.145% 0.138% 0.138% 0.111% 0.093% 0.067% 0.058% 0.035%
2021-08-22 NA 0.317% 0.213% 0.146% 0.142% 0.142% 0.116% 0.097% 0.069% 0.058% 0.036%
2021-08-21 NA 0.321% 0.218% 0.149% 0.145% 0.143% 0.118% 0.100% 0.069% 0.057% 0.037%
2021-08-20 NA 0.324% 0.220% 0.151% 0.148% 0.145% 0.119% 0.101% 0.068% 0.056% 0.036%
2021-08-19 NA 0.368% 0.248% 0.165% 0.162% 0.159% 0.130% 0.108% 0.071% 0.056% 0.039%
2021-08-18 NA 0.353% 0.234% 0.158% 0.155% 0.151% 0.124% 0.105% 0.067% 0.052% 0.038%
2021-08-17 NA 0.368% 0.245% 0.162% 0.157% 0.152% 0.127% 0.106% 0.068% 0.050% 0.038%
2021-08-16 NA 0.378% 0.260% 0.177% 0.167% 0.161% 0.137% 0.118% 0.078% 0.057% 0.044%
2021-08-15 NA 0.372% 0.257% 0.177% 0.166% 0.160% 0.137% 0.118% 0.076% 0.056% 0.043%
2021-08-14 NA 0.371% 0.252% 0.175% 0.165% 0.162% 0.137% 0.119% 0.075% 0.057% 0.043%
2021-08-13 NA 0.385% 0.262% 0.180% 0.168% 0.167% 0.142% 0.124% 0.080% 0.063% 0.048%
2021-08-12 NA 0.346% 0.237% 0.166% 0.153% 0.152% 0.133% 0.116% 0.076% 0.061% 0.044%
2021-08-11 NA 0.361% 0.253% 0.169% 0.156% 0.155% 0.136% 0.118% 0.077% 0.061% 0.043%
2021-08-10 NA 0.371% 0.258% 0.175% 0.160% 0.158% 0.140% 0.121% 0.078% 0.062% 0.044%
2021-08-09 NA 0.363% 0.248% 0.163% 0.151% 0.150% 0.130% 0.111% 0.068% 0.054% 0.038%
2021-08-08 NA 0.354% 0.245% 0.163% 0.150% 0.149% 0.128% 0.109% 0.066% 0.053% 0.038%
2021-08-07 NA 0.346% 0.244% 0.166% 0.149% 0.146% 0.128% 0.108% 0.067% 0.053% 0.038%
2021-08-06 NA 0.334% 0.234% 0.163% 0.144% 0.141% 0.123% 0.104% 0.064% 0.048% 0.036%
2021-08-05 NA 0.341% 0.238% 0.165% 0.143% 0.142% 0.123% 0.105% 0.064% 0.049% 0.036%
2021-08-04 NA 0.331% 0.227% 0.163% 0.139% 0.139% 0.121% 0.105% 0.063% 0.049% 0.037%
2021-08-03 NA 0.327% 0.227% 0.161% 0.134% 0.136% 0.118% 0.103% 0.062% 0.049% 0.036%
2021-08-02 NA 0.322% 0.225% 0.156% 0.131% 0.133% 0.116% 0.101% 0.062% 0.049% 0.035%
2021-08-01 NA 0.321% 0.223% 0.152% 0.127% 0.130% 0.114% 0.100% 0.062% 0.049% 0.036%
2021-07-31 NA 0.316% 0.217% 0.145% 0.122% 0.126% 0.109% 0.097% 0.061% 0.047% 0.036%
2021-07-30 NA NA NA NA NA NA NA NA NA NA NA
2021-07-29 NA NA NA NA NA NA NA NA NA NA NA
2021-07-28 NA NA NA NA NA NA NA NA NA NA NA
2021-07-27 NA NA NA NA NA NA NA NA NA NA NA
2021-07-26 NA NA NA NA NA NA NA NA NA NA NA
2021-07-25 NA NA NA NA NA NA NA NA NA NA NA
2021-07-24 NA NA NA NA NA NA NA NA NA NA NA

The table below shows the percentage of each age group having been fully vaccinated over time. 

  full_vax_table_output
Date 5-11 12-15 16-17 18-24 25-34 35-44 45-54 55-64 65-74 75-84 85+
2021-12-15 16.8% 60.8% 65.6% 60.4% 61.8% 70.7% 72.8% 79.2% 88.0% 86.3% 77.4%
2021-12-14 16.1% 60.7% 65.6% 60.3% 61.8% 70.6% 72.8% 79.1% 88.0% 86.3% 77.4%
2021-12-13 15.6% 60.7% 65.5% 60.3% 61.7% 70.6% 72.7% 79.1% 88.0% 86.3% 77.3%
2021-12-12 14.9% 60.6% 65.5% 60.2% 61.7% 70.5% 72.7% 79.1% 87.9% 86.3% 77.3%
2021-12-11 14.1% 60.6% 65.5% 60.2% 61.6% 70.5% 72.6% 79.0% 87.9% 86.3% 77.3%
2021-12-10 13.3% 60.5% 65.4% 60.1% 61.6% 70.4% 72.6% 79.0% 87.9% 86.2% 77.3%
2021-12-09 12.3% 60.4% 65.4% 60.1% 61.5% 70.4% 72.5% 78.9% 87.9% 86.2% 77.3%
2021-12-08 11.5% 60.3% 65.4% 60.0% 61.4% 70.3% 72.5% 78.9% 87.8% 86.2% 77.2%
2021-12-07 10.3% 60.3% 65.3% 59.9% 61.4% 70.2% 72.4% 78.8% 87.8% 86.1% 77.2%
2021-12-06 9.8% 60.2% 65.3% 59.9% 61.3% 70.2% 72.4% 78.8% 87.8% 86.1% 77.2%
2021-12-05 8.8% 60.2% 65.3% 60.0% 61.4% 70.4% 72.7% 79.4% 88.5% 86.7% 77.6%
2021-12-04 7.0% 60.1% 65.2% 59.9% 61.4% 70.3% 72.6% 79.3% 88.5% 86.6% 77.5%
2021-12-03 5.6% 60.0% 65.2% 59.9% 61.3% 70.2% 72.6% 79.3% 88.4% 86.6% 77.5%
2021-12-02 4.0% 59.9% 65.1% 59.8% 61.2% 70.2% 72.5% 79.2% 88.3% 86.5% 77.4%
2021-12-01 2.7% 59.8% 65.1% 59.7% 61.1% 70.1% 72.4% 79.1% 88.3% 86.4% 77.4%
2021-11-30 1.6% 59.7% 65.1% 59.7% 61.1% 70.0% 72.4% 79.0% 88.2% 86.4% 77.3%
2021-11-29 0.9% 59.7% 65.0% 59.6% 61.0% 70.0% 72.3% 79.0% 88.2% 86.3% 77.3%
2021-11-28 0.4% 59.6% 65.0% 59.6% 61.0% 69.9% 72.3% 79.0% 88.2% 86.3% 77.3%
2021-11-27 0.1% 59.6% 65.0% 59.6% 60.9% 69.9% 72.3% 78.9% 88.1% 86.3% 77.3%
2021-11-26 0.1% 59.6% 65.0% 59.5% 60.9% 69.9% 72.2% 78.9% 88.1% 86.3% 77.3%
2021-11-25 0.0% 59.5% 64.9% 59.5% 60.9% 69.8% 72.2% 78.9% 88.1% 86.3% 77.2%
2021-11-24 0.0% 59.4% 64.9% 59.4% 60.7% 69.7% 72.1% 78.8% 88.0% 86.2% 77.2%
2021-11-23 0.0% 59.4% 64.8% 59.3% 60.7% 69.7% 72.0% 78.7% 88.0% 86.2% 77.1%
2021-11-22 0.0% 59.3% 64.8% 59.3% 60.6% 69.6% 72.0% 78.7% 87.9% 86.1% 77.1%
2021-11-21 0.0% 59.3% 64.8% 59.2% 60.6% 69.6% 72.0% 78.6% 87.9% 86.1% 77.1%
2021-11-20 0.0% 59.2% 64.7% 59.2% 60.5% 69.5% 71.9% 78.5% 87.8% 86.1% 77.0%
2021-11-19 0.0% 59.1% 64.7% 59.1% 60.4% 69.4% 71.8% 78.5% 87.8% 86.0% 77.0%
2021-11-18 0.0% 59.1% 64.7% 59.0% 60.3% 69.3% 71.7% 78.4% 87.7% 86.0% 76.9%
2021-11-17 0.0% 58.6% 64.4% 58.9% 60.1% 69.1% 71.6% 78.2% 87.6% 85.7% 76.2%
2021-11-16 0.0% 58.6% 64.4% 58.8% 60.0% 69.1% 71.5% 78.2% 87.5% 85.6% 76.2%
2021-11-15 0.0% 58.5% 64.3% 58.7% 59.9% 68.9% 71.3% 77.8% 87.0% 85.3% 76.0%
2021-11-14 0.0% 58.5% 64.3% 58.7% 59.9% 68.8% 71.2% 77.8% 87.0% 85.3% 75.9%
2021-11-13 0.0% 58.4% 64.2% 58.6% 59.7% 68.7% 71.1% 77.7% 86.9% 85.2% 75.9%
2021-11-12 0.0% 58.3% 64.2% 58.6% 59.7% 68.7% 71.1% 77.6% 86.9% 85.2% 75.8%
2021-11-11 0.0% 58.3% 64.2% 58.5% 59.6% 68.6% 71.0% 77.6% 86.9% 85.1% 75.8%
2021-11-10 0.0% 58.3% 64.2% 58.5% 59.6% 68.6% 71.0% 77.6% 86.9% 85.1% 75.8%
2021-11-09 NA 58.1% 64.5% 58.4% 59.4% 68.4% 70.9% 77.4% 86.7% 85.0% 75.6%
2021-11-08 NA 58.1% 64.5% 58.3% 59.3% 68.3% 70.8% 77.4% 86.7% 85.0% 75.6%
2021-11-07 NA 57.9% 64.4% 58.2% 59.2% 68.2% 70.7% 77.3% 86.7% 84.9% 75.6%
2021-11-06 NA 57.8% 64.3% 58.1% 59.1% 68.1% 70.7% 77.3% 86.6% 84.9% 75.5%
2021-11-05 NA 57.8% 64.3% 58.1% 59.0% 68.0% 70.6% 77.2% 86.6% 84.8% 75.4%
2021-11-04 NA 57.7% 64.2% 58.0% 58.9% 68.0% 70.5% 77.1% 86.5% 84.7% 75.3%
2021-11-03 NA 57.7% 64.2% 58.0% 58.8% 67.9% 70.5% 77.1% 86.5% 84.7% 75.2%
2021-11-02 NA 57.5% 64.1% 57.9% 58.7% 67.8% 70.4% 77.0% 86.4% 84.6% 75.2%
2021-11-01 NA 57.5% 64.0% 57.8% 58.7% 67.7% 70.3% 76.9% 86.4% 84.6% 75.1%
2021-10-31 NA 57.4% 64.0% 57.8% 58.6% 67.7% 70.3% 76.9% 86.3% 84.5% 75.1%
2021-10-30 NA 57.3% 63.9% 57.7% 58.5% 67.6% 70.2% 76.8% 86.3% 84.5% 75.0%
2021-10-29 NA 57.2% 63.9% 57.7% 58.4% 67.5% 70.1% 76.8% 86.2% 84.4% 75.0%
2021-10-28 NA 57.1% 63.8% 57.6% 58.3% 67.4% 70.1% 76.7% 86.1% 84.3% 74.9%
2021-10-27 NA 57.0% 63.7% 57.5% 58.2% 67.3% 70.0% 76.6% 86.1% 84.2% 74.8%
2021-10-26 NA 56.9% 63.7% 57.4% 58.1% 67.2% 69.9% 76.5% 86.0% 84.2% 74.7%
2021-10-24 NA 56.7% 63.6% 57.3% 58.0% 67.1% 69.8% 76.5% 85.9% 84.1% 74.6%
2021-10-23 NA 56.7% 63.5% 57.3% 57.9% 67.0% 69.7% 76.4% 85.9% 84.1% 74.6%
2021-10-22 NA 56.5% 63.4% 57.2% 57.8% 66.9% 69.6% 76.3% 85.8% 84.0% 74.5%
2021-10-21 NA 56.5% 63.4% 57.1% 57.8% 66.9% 69.6% 76.3% 85.8% 84.0% 74.4%
2021-10-20 NA 56.4% 63.3% 57.0% 57.7% 66.8% 69.5% 76.2% 85.7% 83.9% 74.4%
2021-10-19 NA 56.3% 63.2% 57.0% 57.6% 66.7% 69.5% 76.2% 85.7% 83.9% 74.3%
2021-10-18 NA 56.2% 63.1% 56.9% 57.5% 66.6% 69.4% 76.1% 85.6% 83.8% 74.3%
2021-10-17 NA 56.1% 63.1% 56.8% 57.4% 66.6% 69.4% 76.1% 85.6% 83.8% 74.3%
2021-10-16 NA 56.0% 63.0% 56.8% 57.3% 66.5% 69.3% 76.0% 85.6% 83.8% 74.2%
2021-10-15 NA 55.8% 62.9% 56.6% 57.2% 66.3% 69.2% 75.9% 85.5% 83.7% 74.2%
2021-10-14 NA 55.7% 62.8% 56.5% 57.1% 66.2% 69.1% 75.8% 85.5% 83.6% 74.1%
2021-10-13 NA 55.6% 62.7% 56.4% 56.9% 66.1% 69.0% 75.7% 85.4% 83.6% 74.1%
2021-10-12 NA 55.4% 62.4% 56.0% 56.4% 65.5% 68.3% 75.1% 84.7% 83.1% 73.6%
2021-10-11 NA 55.2% 62.3% 56.0% 56.3% 65.5% 68.4% 75.2% 84.9% 83.2% 73.7%
2021-10-10 NA 55.1% 62.2% 56.0% 56.3% 65.4% 68.3% 75.2% 84.9% 83.2% 73.7%
2021-10-09 NA 55.0% 62.1% 55.9% 56.2% 65.3% 68.2% 75.1% 84.8% 83.1% 73.6%
2021-10-08 NA 54.8% 62.0% 55.8% 56.0% 65.2% 68.1% 75.0% 84.7% 83.1% 73.6%
2021-10-06 NA 54.5% 61.8% 55.5% 55.7% 65.0% 67.9% 74.8% 84.6% 82.9% 73.5%
2021-10-05 NA 54.4% 61.7% 55.4% 55.7% 64.9% 67.9% 74.8% 84.5% 82.8% 73.4%
2021-10-04 NA 54.3% 61.6% 55.4% 55.6% 64.8% 67.8% 74.7% 84.5% 82.8% 73.3%
2021-10-03 NA 54.2% 61.5% 55.3% 55.5% 64.7% 67.7% 74.6% 84.4% 82.8% 73.3%
2021-09-30 NA 53.8% 61.3% 55.0% 55.2% 64.5% 67.5% 74.5% 84.3% 82.6% 73.2%
2021-09-29 NA 53.7% 61.1% 54.9% 55.1% 64.4% 67.4% 74.4% 84.2% 82.6% 73.1%
2021-09-28 NA 53.6% 61.1% 54.9% 55.0% 64.3% 67.4% 74.3% 84.2% 82.5% 73.1%
2021-09-27 NA 53.4% 60.9% 54.8% 54.9% 64.2% 67.3% 74.3% 84.1% 82.5% 73.1%
2021-09-26 NA 53.1% 60.7% 54.7% 54.8% 64.1% 67.2% 74.2% 84.1% 82.4% 73.0%
2021-09-25 NA 52.9% 60.6% 54.6% 54.7% 64.0% 67.1% 74.1% 84.0% 82.4% 73.0%
2021-09-24 NA 52.7% 60.4% 54.4% 54.5% 63.8% 67.0% 74.0% 84.0% 82.3% 72.9%
2021-09-23 NA 52.5% 60.3% 54.3% 54.4% 63.7% 66.9% 74.0% 83.9% 82.3% 72.9%
2021-09-22 NA 52.3% 60.2% 54.2% 54.2% 63.6% 66.8% 73.9% 83.9% 82.3% 72.9%
2021-09-20 NA 48.3% 57.6% 52.8% 53.4% 62.8% 66.2% 73.4% 83.7% 82.1% 72.7%
2021-09-19 NA 48.1% 57.4% 52.7% 53.3% 62.7% 66.1% 73.4% 83.7% 82.1% 72.7%
2021-09-18 NA 47.7% 57.2% 52.5% 53.0% 62.5% 66.0% 73.2% 83.6% 82.0% 72.7%
2021-09-17 NA 51.3% 59.4% 53.8% 53.8% 63.3% 66.7% 73.9% 84.1% 82.4% 73.1%
2021-09-16 NA 50.8% 58.9% 53.2% 53.1% 62.6% 66.1% 73.3% 83.8% 82.2% 72.9%
2021-09-15 NA 50.6% 58.7% 53.1% 52.9% 62.4% 65.9% 73.2% 83.7% 82.1% 72.8%
2021-09-14 NA 50.4% 58.5% 53.0% 52.8% 62.3% 65.8% 73.1% 83.6% 82.0% 72.8%
2021-09-13 NA 50.2% 58.4% 52.9% 52.7% 62.1% 65.7% 73.1% 83.6% 82.0% 72.7%
2021-09-12 NA 49.9% 58.2% 52.8% 52.6% 62.0% 65.7% 73.0% 83.6% 82.0% 72.7%
2021-09-11 NA 49.6% 58.0% 52.7% 52.4% 61.9% 65.5% 72.9% 83.5% 81.9% 72.7%
2021-09-10 NA 49.3% 57.8% 52.5% 52.3% 61.8% 65.4% 72.8% 83.4% 81.9% 72.7%
2021-09-09 NA 49.0% 57.6% 52.4% 52.1% 61.6% 65.3% 72.7% 83.4% 81.8% 72.6%
2021-09-08 NA 48.6% 57.3% 52.2% 52.0% 61.5% 65.2% 72.6% 83.3% 81.8% 72.6%
2021-09-07 NA 48.4% 57.2% 52.2% 51.9% 61.4% 65.1% 72.5% 83.3% 81.7% 72.5%
2021-09-06 NA 48.2% 57.1% 52.1% 51.8% 61.3% 65.1% 72.5% 83.2% 81.7% 72.5%
2021-09-05 NA 48.0% 56.9% 52.0% 51.7% 61.2% 65.0% 72.4% 83.2% 81.7% 72.5%
2021-09-04 NA 48.0% 56.9% 52.0% 51.7% 61.2% 65.0% 72.4% 83.2% 81.7% 72.5%
2021-09-03 NA 47.3% 56.5% 51.8% 51.5% 61.0% 64.8% 72.2% 83.1% 81.6% 72.4%
2021-09-02 NA 47.0% 56.2% 51.6% 51.3% 60.8% 64.6% 72.1% 83.0% 81.6% 72.4%
2021-09-01 NA 46.7% 56.0% 51.5% 51.2% 60.7% 64.5% 72.0% 82.9% 81.5% 72.4%
2021-08-31 NA 46.5% 55.8% 51.4% 51.1% 60.6% 64.4% 71.9% 82.9% 81.5% 72.3%
2021-08-30 NA 46.2% 55.6% 51.3% 51.0% 60.5% 64.3% 71.8% 82.8% 81.4% 72.3%
2021-08-29 NA 45.9% 55.5% 51.2% 50.9% 60.4% 64.2% 71.8% 82.8% 81.4% 72.3%
2021-08-28 NA 45.5% 55.2% 51.1% 50.7% 60.2% 64.1% 71.7% 82.7% 81.4% 72.3%
2021-08-27 NA 45.1% 54.9% 50.9% 50.6% 60.0% 63.9% 71.5% 82.7% 81.3% 72.2%
2021-08-26 NA 44.8% 54.7% 50.8% 50.4% 59.9% 63.8% 71.4% 82.6% 81.2% 72.2%
2021-08-25 NA 44.5% 54.4% 50.7% 50.3% 59.8% 63.7% 71.3% 82.5% 81.2% 72.1%
2021-08-24 NA 44.1% 54.2% 50.5% 50.2% 59.6% 63.6% 71.2% 82.4% 81.1% 72.1%
2021-08-23 NA 43.9% 54.1% 50.4% 50.1% 59.5% 63.5% 71.1% 82.4% 81.1% 72.0%
2021-08-22 NA 43.7% 53.9% 50.3% 50.0% 59.4% 63.4% 71.1% 82.4% 81.1% 72.0%
2021-08-21 NA 43.4% 53.7% 50.2% 49.9% 59.3% 63.3% 71.0% 82.3% 81.0% 72.0%
2021-08-20 NA 43.1% 53.5% 50.1% 49.8% 59.2% 63.2% 70.9% 82.2% 81.0% 72.0%
2021-08-19 NA 42.8% 53.3% 50.0% 49.7% 59.1% 63.1% 70.8% 82.2% 80.9% 71.9%
2021-08-18 NA 42.4% 53.1% 49.8% 49.5% 59.0% 63.0% 70.7% 82.1% 80.9% 71.9%
2021-08-17 NA 42.2% 53.0% 49.7% 49.5% 58.9% 62.9% 70.6% 82.1% 80.8% 71.9%
2021-08-16 NA 42.0% 52.8% 49.6% 49.4% 58.8% 62.9% 70.6% 82.0% 80.8% 71.8%
2021-08-15 NA 41.8% 52.6% 49.6% 49.3% 58.7% 62.8% 70.5% 82.0% 80.8% 71.8%
2021-08-14 NA 41.5% 52.4% 49.4% 49.2% 58.6% 62.7% 70.4% 81.9% 80.7% 71.8%
2021-08-13 NA 41.2% 52.3% 49.3% 49.1% 58.5% 62.6% 70.4% 81.9% 80.7% 71.8%
2021-08-12 NA 40.7% 52.0% 49.1% 49.0% 58.4% 62.5% 70.2% 81.8% 80.7% 71.7%
2021-08-11 NA 40.5% 51.8% 49.0% 48.9% 58.3% 62.4% 70.2% 81.8% 80.6% 71.7%
2021-08-10 NA 40.3% 51.7% 49.0% 48.9% 58.2% 62.4% 70.1% 81.7% 80.6% 71.7%
2021-08-09 NA 40.1% 51.5% 48.8% 48.7% 58.1% 62.2% 70.0% 81.6% 80.5% 71.6%
2021-08-08 NA 39.9% 51.4% 48.7% 48.7% 58.1% 62.2% 70.0% 81.6% 80.5% 71.6%
2021-08-07 NA 39.7% 51.3% 48.6% 48.6% 58.0% 62.1% 69.9% 81.6% 80.5% 71.6%
2021-08-06 NA 39.5% 51.1% 48.5% 48.5% 57.9% 62.0% 69.8% 81.5% 80.4% 71.5%
2021-08-05 NA 39.2% 50.9% 48.4% 48.4% 57.8% 62.0% 69.8% 81.5% 80.3% 71.5%
2021-08-04 NA 39.0% 50.8% 48.3% 48.4% 57.7% 61.9% 69.7% 81.4% 80.3% 71.5%
2021-08-03 NA 38.8% 50.6% 48.1% 48.3% 57.7% 61.8% 69.6% 81.4% 80.3% 71.4%
2021-08-02 NA 38.6% 50.5% 48.0% 48.2% 57.6% 61.8% 69.6% 81.3% 80.3% 71.4%
2021-08-01 NA 38.5% 50.4% 47.9% 48.2% 57.6% 61.7% 69.6% 81.3% 80.2% 71.4%
2021-07-31 NA 38.3% 50.3% 47.8% 48.1% 57.5% 61.6% 69.5% 81.3% 80.2% 71.4%
2021-07-30 NA 38.1% 50.1% 47.7% 48.0% 57.4% 61.6% 69.4% 81.2% 80.2% 71.3%
2021-07-29 NA 37.8% 49.9% 47.5% 47.9% 57.3% 61.5% 69.4% 81.2% 80.1% 71.3%
2021-07-28 NA 37.6% 49.8% 47.4% 47.8% 57.2% 61.4% 69.3% 81.1% 80.1% 71.3%
2021-07-27 NA 37.4% 49.6% 47.3% 47.7% 57.1% 61.3% 69.2% 81.1% 80.0% 71.2%
2021-07-26 NA 37.3% 49.5% 47.2% 47.7% 57.1% 61.3% 69.2% 81.0% 80.0% 71.2%
2021-07-25 NA 37.2% 49.4% 47.1% 47.6% 57.0% 61.3% 69.1% 81.0% 80.0% 71.2%
2021-07-24 NA 37.0% 49.3% 47.0% 47.6% 56.9% 61.2% 69.1% 81.0% 80.0% 71.2%

The table below shows the daily percentage change in the percent of each age group fully vaccinated, using a seven day rolling average. 

  full_vax_rolling_table_output
Date 5-11 12-15 16-17 18-24 25-34 35-44 45-54 55-64 65-74 75-84 85+
2021-12-15 0.764% 0.069% 0.037% 0.050% 0.057% 0.051% 0.043% 0.043% 0.028% 0.026% 0.024%
2021-12-14 0.832% 0.068% 0.038% 0.049% 0.058% 0.053% 0.045% 0.045% 0.030% 0.028% 0.025%
2021-12-13 0.816% 0.064% 0.035% 0.045% 0.053% 0.050% 0.042% 0.042% 0.028% 0.026% 0.024%
2021-12-12 0.872% 0.065% 0.035% 0.037% 0.038% 0.021% -0.003% -0.044% -0.083% -0.055% -0.032%
2021-12-11 1.023% 0.069% 0.035% 0.036% 0.039% 0.023% 0.000% -0.042% -0.081% -0.054% -0.032%
2021-12-10 1.107% 0.073% 0.037% 0.037% 0.041% 0.026% 0.004% -0.036% -0.075% -0.049% -0.028%
2021-12-09 1.184% 0.076% 0.040% 0.039% 0.042% 0.030% 0.007% -0.032% -0.070% -0.044% -0.024%
2021-12-08 1.256% 0.078% 0.041% 0.041% 0.045% 0.033% 0.011% -0.027% -0.063% -0.037% -0.021%
2021-12-07 1.242% 0.076% 0.037% 0.040% 0.042% 0.031% 0.009% -0.027% -0.062% -0.037% -0.020%
2021-12-06 1.279% 0.079% 0.039% 0.043% 0.046% 0.035% 0.013% -0.023% -0.058% -0.034% -0.018%
2021-12-05 1.193% 0.076% 0.038% 0.052% 0.062% 0.063% 0.059% 0.063% 0.053% 0.047% 0.038%
2021-12-04 0.978% 0.071% 0.037% 0.052% 0.061% 0.061% 0.056% 0.061% 0.051% 0.045% 0.038%
2021-12-03 0.782% 0.061% 0.031% 0.048% 0.054% 0.053% 0.049% 0.053% 0.044% 0.038% 0.033%
2021-12-02 0.562% 0.050% 0.026% 0.043% 0.047% 0.045% 0.042% 0.044% 0.036% 0.031% 0.026%
2021-12-01 0.383% 0.055% 0.030% 0.047% 0.053% 0.048% 0.043% 0.044% 0.031% 0.027% 0.025%
2021-11-30 0.222% 0.056% 0.033% 0.049% 0.057% 0.052% 0.047% 0.047% 0.033% 0.029% 0.027%
2021-11-29 0.127% 0.053% 0.031% 0.050% 0.057% 0.051% 0.046% 0.047% 0.033% 0.029% 0.028%
2021-11-28 0.064% 0.054% 0.032% 0.050% 0.059% 0.053% 0.048% 0.049% 0.034% 0.031% 0.029%
2021-11-27 0.018% 0.058% 0.035% 0.053% 0.064% 0.060% 0.053% 0.054% 0.040% 0.035% 0.032%
2021-11-26 0.010% 0.061% 0.038% 0.057% 0.071% 0.066% 0.059% 0.060% 0.047% 0.040% 0.037%
2021-11-25 0.005% 0.065% 0.041% 0.062% 0.079% 0.074% 0.066% 0.066% 0.055% 0.047% 0.045%
2021-11-24 0.000% 0.112% 0.066% 0.073% 0.092% 0.087% 0.080% 0.077% 0.070% 0.079% 0.138%
2021-11-23 0.000% 0.111% 0.065% 0.073% 0.092% 0.086% 0.078% 0.076% 0.069% 0.079% 0.137%
2021-11-22 0.000% 0.111% 0.067% 0.077% 0.101% 0.103% 0.105% 0.124% 0.134% 0.124% 0.164%
2021-11-21 0.000% 0.112% 0.067% 0.077% 0.101% 0.104% 0.104% 0.123% 0.133% 0.123% 0.166%
2021-11-20 0.000% 0.116% 0.071% 0.080% 0.105% 0.106% 0.106% 0.121% 0.130% 0.123% 0.168%
2021-11-19 0.000% 0.115% 0.071% 0.077% 0.102% 0.103% 0.102% 0.118% 0.126% 0.120% 0.165%
2021-11-18 0.000% 0.116% 0.072% 0.075% 0.100% 0.101% 0.099% 0.115% 0.122% 0.118% 0.161%
2021-11-17 0.000% 0.054% 0.037% 0.051% 0.071% 0.074% 0.075% 0.093% 0.100% 0.078% 0.062%
2021-11-16 NA 0.067% -0.016% 0.066% 0.092% 0.093% 0.088% 0.103% 0.107% 0.089% 0.076%
2021-11-15 NA 0.069% -0.016% 0.061% 0.085% 0.079% 0.063% 0.055% 0.041% 0.046% 0.050%
2021-11-14 NA 0.077% -0.011% 0.067% 0.093% 0.087% 0.070% 0.060% 0.045% 0.048% 0.052%
2021-11-13 NA 0.076% -0.010% 0.069% 0.095% 0.089% 0.070% 0.062% 0.047% 0.049% 0.057%
2021-11-12 NA 0.077% -0.008% 0.072% 0.098% 0.093% 0.073% 0.064% 0.049% 0.051% 0.059%
2021-11-11 NA 0.076% -0.010% 0.072% 0.098% 0.094% 0.075% 0.066% 0.050% 0.055% 0.072%
2021-11-10 NA 0.086% -0.002% 0.081% 0.111% 0.105% 0.084% 0.075% 0.057% 0.063% 0.081%
2021-11-09 NA 0.081% 0.056% 0.066% 0.090% 0.087% 0.071% 0.065% 0.048% 0.054% 0.070%
2021-11-08 NA 0.085% 0.059% 0.068% 0.092% 0.088% 0.072% 0.066% 0.050% 0.057% 0.072%
2021-11-07 NA 0.079% 0.057% 0.063% 0.084% 0.081% 0.067% 0.063% 0.049% 0.056% 0.072%
2021-11-06 NA 0.077% 0.053% 0.058% 0.079% 0.075% 0.064% 0.059% 0.047% 0.054% 0.066%
2021-11-05 NA 0.082% 0.055% 0.059% 0.081% 0.078% 0.066% 0.061% 0.050% 0.058% 0.068%
2021-11-04 NA 0.085% 0.058% 0.061% 0.083% 0.078% 0.066% 0.061% 0.053% 0.060% 0.063%
2021-11-03 NA 0.093% 0.062% 0.065% 0.087% 0.082% 0.069% 0.063% 0.056% 0.063% 0.063%
2021-11-02 NA 0.090% 0.061% 0.068% 0.089% 0.083% 0.071% 0.064% 0.060% 0.064% 0.064%
2021-11-01 NA 0.103% 0.069% 0.075% 0.096% 0.091% 0.078% 0.068% 0.064% 0.067% 0.065%
2021-10-31 NA 0.106% 0.071% 0.075% 0.097% 0.091% 0.078% 0.069% 0.064% 0.066% 0.069%
2021-10-30 NA 0.110% 0.076% 0.079% 0.099% 0.093% 0.080% 0.072% 0.065% 0.069% 0.074%
2021-10-29 NA 0.106% 0.074% 0.079% 0.096% 0.089% 0.076% 0.069% 0.062% 0.065% 0.073%
2021-10-28 NA 0.104% 0.074% 0.080% 0.095% 0.089% 0.077% 0.069% 0.059% 0.061% 0.067%
2021-10-27 NA 0.098% 0.072% 0.078% 0.091% 0.085% 0.073% 0.066% 0.055% 0.055% 0.064%
2021-10-26 NA 0.100% 0.074% 0.076% 0.089% 0.084% 0.070% 0.063% 0.050% 0.049% 0.059%
2021-10-24 NA 0.088% 0.067% 0.069% 0.081% 0.074% 0.061% 0.056% 0.042% 0.042% 0.051%
2021-10-23 NA 0.094% 0.069% 0.074% 0.087% 0.078% 0.064% 0.058% 0.042% 0.042% 0.048%
2021-10-22 NA 0.100% 0.074% 0.080% 0.094% 0.083% 0.068% 0.061% 0.044% 0.044% 0.046%
2021-10-21 NA 0.108% 0.082% 0.084% 0.101% 0.090% 0.072% 0.065% 0.047% 0.047% 0.046%
2021-10-20 NA 0.115% 0.087% 0.088% 0.108% 0.096% 0.075% 0.069% 0.051% 0.048% 0.044%
2021-10-19 NA 0.136% 0.114% 0.133% 0.174% 0.176% 0.164% 0.150% 0.140% 0.113% 0.101%
2021-10-18 NA 0.145% 0.122% 0.130% 0.168% 0.164% 0.149% 0.132% 0.109% 0.092% 0.087%
2021-10-17 NA 0.141% 0.120% 0.126% 0.163% 0.160% 0.146% 0.130% 0.109% 0.090% 0.086%
2021-10-16 NA 0.146% 0.124% 0.127% 0.165% 0.165% 0.149% 0.133% 0.112% 0.091% 0.086%
2021-10-15 NA 0.143% 0.122% 0.123% 0.161% 0.161% 0.148% 0.130% 0.111% 0.089% 0.084%
2021-10-14 NA 0.168% 0.141% 0.145% 0.187% 0.183% 0.166% 0.145% 0.126% 0.103% 0.092%
2021-10-13 NA 0.164% 0.138% 0.139% 0.177% 0.174% 0.161% 0.139% 0.122% 0.102% 0.095%
2021-10-12 NA 0.151% 0.115% 0.095% 0.113% 0.095% 0.075% 0.059% 0.035% 0.041% 0.045%
2021-10-11 NA 0.148% 0.111% 0.097% 0.118% 0.106% 0.089% 0.076% 0.064% 0.060% 0.056%
2021-10-10 NA 0.189% 0.141% 0.131% 0.160% 0.142% 0.115% 0.097% 0.080% 0.074% 0.071%
2021-10-09 NA 0.187% 0.142% 0.132% 0.158% 0.139% 0.114% 0.096% 0.082% 0.079% 0.072%
2021-10-08 NA 0.178% 0.137% 0.125% 0.149% 0.132% 0.108% 0.092% 0.081% 0.078% 0.068%
2021-10-06 NA 0.162% 0.124% 0.102% 0.121% 0.110% 0.090% 0.075% 0.066% 0.061% 0.058%
2021-10-05 NA 0.197% 0.147% 0.112% 0.132% 0.119% 0.097% 0.081% 0.066% 0.059% 0.054%
2021-10-04 NA 0.198% 0.146% 0.113% 0.132% 0.118% 0.095% 0.079% 0.060% 0.053% 0.044%
2021-10-03 NA 0.214% 0.155% 0.124% 0.143% 0.128% 0.105% 0.086% 0.066% 0.058% 0.051%
2021-09-30 NA 0.187% 0.137% 0.102% 0.115% 0.105% 0.089% 0.074% 0.055% 0.049% 0.039%
2021-09-29 NA 0.189% 0.143% 0.105% 0.118% 0.108% 0.091% 0.075% 0.054% 0.045% 0.037%
2021-09-28 NA 0.750% 0.501% 0.305% 0.233% 0.212% 0.166% 0.130% 0.061% 0.063% 0.051%
2021-09-27 NA 0.754% 0.499% 0.304% 0.233% 0.211% 0.164% 0.128% 0.057% 0.060% 0.047%
2021-09-26 NA 0.760% 0.501% 0.314% 0.243% 0.224% 0.173% 0.135% 0.059% 0.061% 0.047%
2021-09-25 NA 0.236% 0.172% 0.114% 0.127% 0.101% 0.064% 0.041% -0.009% -0.001% -0.011%
2021-09-24 NA 0.267% 0.223% 0.173% 0.202% 0.182% 0.130% 0.100% 0.027% 0.028% 0.010%
2021-09-23 NA 0.276% 0.231% 0.179% 0.212% 0.193% 0.138% 0.106% 0.033% 0.032% 0.015%
2021-09-22 NA 0.283% 0.233% 0.177% 0.211% 0.193% 0.138% 0.106% 0.033% 0.033% 0.016%
2021-09-20 NA -0.261% -0.115% -0.017% 0.102% 0.096% 0.068% 0.054% 0.023% 0.012% 0.000%
2021-09-19 NA -0.256% -0.111% -0.017% 0.101% 0.096% 0.068% 0.054% 0.023% 0.011% 0.001%
2021-09-18 NA -0.259% -0.117% -0.027% 0.092% 0.086% 0.061% 0.049% 0.021% 0.009% 0.001%
2021-09-17 NA 0.289% 0.227% 0.177% 0.212% 0.214% 0.176% 0.149% 0.093% 0.074% 0.061%
2021-09-16 NA 0.258% 0.178% 0.116% 0.133% 0.131% 0.107% 0.089% 0.057% 0.044% 0.036%
2021-09-15 NA 0.288% 0.193% 0.118% 0.131% 0.129% 0.108% 0.089% 0.055% 0.044% 0.036%
2021-09-14 NA 0.279% 0.185% 0.111% 0.124% 0.122% 0.103% 0.086% 0.053% 0.042% 0.033%
2021-09-13 NA 0.275% 0.183% 0.108% 0.118% 0.117% 0.099% 0.082% 0.050% 0.040% 0.032%
2021-09-12 NA 0.273% 0.185% 0.109% 0.117% 0.115% 0.098% 0.083% 0.050% 0.040% 0.032%
2021-09-11 NA 0.222% 0.155% 0.090% 0.094% 0.093% 0.080% 0.067% 0.042% 0.035% 0.027%
2021-09-10 NA 0.276% 0.192% 0.110% 0.115% 0.112% 0.097% 0.082% 0.050% 0.040% 0.029%
2021-09-09 NA 0.290% 0.200% 0.112% 0.119% 0.117% 0.101% 0.086% 0.052% 0.041% 0.029%
2021-09-08 NA 0.269% 0.188% 0.105% 0.112% 0.111% 0.095% 0.082% 0.050% 0.037% 0.027%
2021-09-07 NA 0.280% 0.197% 0.111% 0.118% 0.117% 0.099% 0.086% 0.052% 0.038% 0.029%
2021-09-06 NA 0.292% 0.205% 0.115% 0.123% 0.123% 0.105% 0.091% 0.056% 0.041% 0.031%
2021-09-05 NA 0.300% 0.207% 0.116% 0.125% 0.126% 0.108% 0.093% 0.057% 0.042% 0.031%
2021-09-04 NA 0.359% 0.244% 0.136% 0.146% 0.148% 0.128% 0.109% 0.065% 0.049% 0.036%
2021-09-03 NA 0.323% 0.220% 0.124% 0.131% 0.138% 0.118% 0.102% 0.063% 0.047% 0.037%
2021-09-02 NA 0.311% 0.216% 0.119% 0.126% 0.133% 0.114% 0.098% 0.061% 0.045% 0.036%
2021-09-01 NA 0.318% 0.224% 0.121% 0.126% 0.133% 0.115% 0.100% 0.062% 0.047% 0.038%
2021-08-31 NA 0.330% 0.229% 0.126% 0.128% 0.135% 0.118% 0.101% 0.064% 0.049% 0.039%
2021-08-30 NA 0.328% 0.227% 0.128% 0.129% 0.136% 0.118% 0.104% 0.065% 0.049% 0.039%
2021-08-29 NA 0.317% 0.221% 0.125% 0.127% 0.133% 0.114% 0.100% 0.063% 0.049% 0.038%
2021-08-28 NA 0.304% 0.215% 0.124% 0.122% 0.128% 0.111% 0.098% 0.063% 0.047% 0.035%
2021-08-27 NA 0.282% 0.197% 0.115% 0.113% 0.117% 0.102% 0.091% 0.058% 0.044% 0.033%
2021-08-26 NA 0.289% 0.199% 0.117% 0.112% 0.115% 0.102% 0.090% 0.058% 0.046% 0.033%
2021-08-25 NA 0.294% 0.196% 0.120% 0.110% 0.113% 0.102% 0.090% 0.058% 0.046% 0.030%
2021-08-24 NA 0.276% 0.183% 0.113% 0.101% 0.105% 0.094% 0.083% 0.055% 0.042% 0.028%
2021-08-23 NA 0.273% 0.183% 0.110% 0.097% 0.099% 0.090% 0.079% 0.053% 0.042% 0.027%
2021-08-22 NA 0.273% 0.184% 0.110% 0.096% 0.099% 0.092% 0.080% 0.055% 0.043% 0.029%
2021-08-21 NA 0.268% 0.182% 0.109% 0.094% 0.097% 0.090% 0.078% 0.054% 0.041% 0.031%
2021-08-20 NA 0.267% 0.182% 0.109% 0.092% 0.096% 0.088% 0.076% 0.053% 0.040% 0.030%
2021-08-19 NA 0.290% 0.193% 0.117% 0.095% 0.099% 0.091% 0.078% 0.053% 0.038% 0.032%
2021-08-18 NA 0.266% 0.176% 0.110% 0.089% 0.093% 0.083% 0.073% 0.050% 0.036% 0.032%
2021-08-17 NA 0.270% 0.179% 0.111% 0.089% 0.093% 0.084% 0.072% 0.049% 0.036% 0.030%
2021-08-16 NA 0.270% 0.178% 0.122% 0.093% 0.098% 0.090% 0.080% 0.056% 0.042% 0.034%
2021-08-15 NA 0.262% 0.171% 0.120% 0.091% 0.095% 0.086% 0.078% 0.054% 0.040% 0.033%
2021-08-14 NA 0.250% 0.162% 0.117% 0.086% 0.090% 0.081% 0.075% 0.052% 0.040% 0.030%
2021-08-13 NA 0.251% 0.163% 0.120% 0.086% 0.090% 0.082% 0.075% 0.055% 0.046% 0.034%
2021-08-12 NA 0.213% 0.147% 0.109% 0.078% 0.080% 0.074% 0.068% 0.050% 0.043% 0.030%
2021-08-11 NA 0.219% 0.152% 0.114% 0.078% 0.081% 0.074% 0.068% 0.050% 0.043% 0.031%
2021-08-10 NA 0.219% 0.154% 0.118% 0.080% 0.082% 0.075% 0.069% 0.050% 0.043% 0.033%
2021-08-09 NA 0.210% 0.149% 0.107% 0.073% 0.075% 0.067% 0.060% 0.041% 0.035% 0.029%
2021-08-08 NA 0.207% 0.149% 0.110% 0.073% 0.074% 0.066% 0.059% 0.041% 0.035% 0.029%
2021-08-07 NA 0.204% 0.148% 0.114% 0.075% 0.075% 0.068% 0.059% 0.041% 0.036% 0.028%
2021-08-06 NA 0.192% 0.145% 0.115% 0.075% 0.074% 0.066% 0.058% 0.038% 0.030% 0.024%
2021-08-05 NA 0.202% 0.148% 0.120% 0.078% 0.077% 0.068% 0.060% 0.040% 0.031% 0.025%
2021-08-04 NA 0.200% 0.146% 0.119% 0.077% 0.077% 0.068% 0.061% 0.040% 0.033% 0.027%
2021-08-03 NA 0.197% 0.146% 0.120% 0.078% 0.078% 0.069% 0.062% 0.040% 0.034% 0.026%
2021-08-02 NA 0.190% 0.141% 0.117% 0.076% 0.077% 0.068% 0.060% 0.040% 0.034% 0.026%
2021-08-01 NA 0.189% 0.139% 0.115% 0.076% 0.077% 0.067% 0.060% 0.040% 0.034% 0.026%
2021-07-31 NA 0.187% 0.137% 0.113% 0.075% 0.077% 0.067% 0.060% 0.041% 0.033% 0.027%
2021-07-30 NA NA NA NA NA NA NA NA NA NA NA
2021-07-29 NA NA NA NA NA NA NA NA NA NA NA
2021-07-28 NA NA NA NA NA NA NA NA NA NA NA
2021-07-27 NA NA NA NA NA NA NA NA NA NA NA
2021-07-26 NA NA NA NA NA NA NA NA NA NA NA
2021-07-25 NA NA NA NA NA NA NA NA NA NA NA
2021-07-24 NA NA NA NA NA NA NA NA NA NA NA

The table below shows the percentage of each age group having received a booster dose over time. 

  booster_table_output
Date 5-11 12-15 16-17 18-24 25-34 35-44 45-54 55-64 65-74 75-84 85+
2021-12-15 0.0% 0.1% 1.3% 6.6% 11.1% 17.8% 21.6% 30.1% 50.2% 54.3% 45.7%
2021-12-14 0.0% 0.1% 1.0% 6.3% 10.7% 17.4% 21.1% 29.5% 49.7% 53.8% 45.2%
2021-12-13 0.0% 0.1% 0.8% 6.1% 10.5% 17.1% 20.7% 29.0% 49.4% 53.5% 45.0%
2021-12-12 0.0% 0.1% 0.6% 6.0% 10.3% 16.8% 20.4% 28.7% 49.2% 53.3% 44.8%
2021-12-11 0.0% 0.1% 0.5% 5.7% 9.9% 16.3% 19.9% 28.1% 48.8% 53.0% 44.4%
2021-12-10 0.0% 0.1% 0.4% 5.6% 9.7% 15.9% 19.4% 27.5% 48.3% 52.5% 43.9%
2021-12-09 0.0% 0.1% 0.4% 5.3% 9.3% 15.4% 18.8% 26.8% 47.6% 51.8% 43.4%
2021-12-08 0.0% 0.1% 0.4% 5.2% 9.1% 15.1% 18.4% 26.3% 47.2% 51.4% 43.0%
2021-12-07 0.0% 0.1% 0.4% 5.0% 8.8% 14.6% 17.8% 25.6% 46.5% 50.7% 42.5%
2021-12-06 0.0% 0.1% 0.4% 4.9% 8.7% 14.5% 17.7% 25.4% 46.4% 50.6% 42.4%
2021-12-05 0.0% 0.1% 0.4% 4.8% 8.5% 14.2% 17.3% 25.0% 46.1% 50.3% 42.2%
2021-12-04 0.0% 0.1% 0.4% 4.5% 8.1% 13.6% 16.7% 24.3% 45.6% 49.9% 41.8%
2021-12-03 0.0% 0.1% 0.4% 4.3% 7.8% 13.1% 16.1% 23.5% 44.9% 49.2% 41.2%
2021-12-02 0.0% 0.1% 0.4% 4.1% 7.4% 12.6% 15.5% 22.6% 44.2% 48.4% 40.5%
2021-12-01 0.0% 0.1% 0.4% 4.0% 7.2% 12.2% 15.0% 22.0% 43.5% 47.7% 39.9%
2021-11-30 0.0% 0.1% 0.3% 3.9% 7.1% 12.0% 14.7% 21.6% 43.0% 47.2% 39.4%
2021-11-29 0.0% 0.1% 0.3% 3.8% 6.9% 11.8% 14.5% 21.2% 42.7% 46.8% 39.0%
2021-11-28 0.0% 0.1% 0.3% 3.7% 6.8% 11.6% 14.3% 20.9% 42.5% 46.6% 38.9%
2021-11-27 0.0% 0.1% 0.3% 3.5% 6.7% 11.4% 14.0% 20.6% 42.2% 46.4% 38.7%
2021-11-26 0.0% 0.1% 0.3% 3.4% 6.6% 11.3% 13.8% 20.4% 42.1% 46.2% 38.5%
2021-11-25 0.0% 0.1% 0.3% 3.2% 6.5% 11.1% 13.6% 20.1% 41.9% 46.0% 38.3%
2021-11-24 0.0% 0.1% 0.3% 2.9% 6.1% 10.5% 13.0% 19.3% 41.2% 45.3% 37.7%
2021-11-23 0.0% 0.1% 0.3% 2.6% 5.9% 10.1% 12.5% 18.6% 40.5% 44.6% 37.1%
2021-11-22 0.0% 0.1% 0.3% 2.5% 5.7% 9.9% 12.2% 18.2% 40.1% 44.2% 36.7%
2021-11-21 0.0% 0.1% 0.3% 2.4% 5.6% 9.7% 11.9% 17.8% 39.8% 44.0% 36.5%
2021-11-20 0.0% 0.1% 0.3% 2.3% 5.3% 9.2% 11.4% 17.1% 39.1% 43.3% 35.8%
2021-11-19 0.0% 0.1% 0.3% 2.2% 5.1% 8.9% 11.0% 16.6% 38.4% 42.5% 35.1%
2021-11-18 0.0% 0.1% 0.2% 2.1% 4.9% 8.6% 10.6% 16.1% 37.6% 41.6% 34.2%
2021-11-17 0.0% 0.1% 0.2% 2.0% 4.7% 8.2% 10.2% 15.5% 36.6% 40.4% 32.9%
2021-11-16 0.0% 0.1% 0.2% 1.9% 4.6% 8.0% 9.9% 15.0% 35.9% 39.6% 32.1%
2021-11-15 0.0% 0.1% 0.2% 1.8% 4.4% 7.7% 9.5% 14.3% 35.0% 38.8% 31.5%
2021-11-14 0.0% 0.1% 0.2% 1.8% 4.3% 7.5% 9.3% 14.1% 34.7% 38.5% 31.3%
2021-11-13 0.0% 0.1% 0.2% 1.7% 4.1% 7.0% 8.8% 13.4% 33.8% 37.7% 30.5%
2021-11-12 0.0% 0.1% 0.2% 1.6% 3.9% 6.8% 8.5% 13.1% 33.3% 37.1% 29.9%
2021-11-11 0.0% 0.1% 0.2% 1.5% 3.8% 6.5% 8.2% 12.6% 32.5% 36.2% 29.0%
2021-11-10 0.0% 0.1% 0.2% 1.5% 3.8% 6.5% 8.2% 12.6% 32.5% 36.2% 29.0%
2021-11-09 NA 0.1% 0.2% 1.4% 3.4% 5.9% 7.5% 11.6% 30.7% 34.1% 27.2%
2021-11-08 NA 0.1% 0.2% 1.3% 3.3% 5.8% 7.3% 11.4% 30.3% 33.7% 26.7%
2021-11-07 NA 0.1% 0.2% 1.3% 3.1% 5.5% 7.0% 10.9% 29.6% 33.0% 26.2%
2021-11-06 NA 0.1% 0.2% 1.2% 3.0% 5.2% 6.7% 10.5% 28.7% 32.0% 25.3%
2021-11-05 NA 0.1% 0.2% 1.1% 2.9% 4.9% 6.4% 10.1% 28.0% 31.2% 24.6%
2021-11-04 NA 0.1% 0.2% 1.1% 2.7% 4.7% 6.2% 9.7% 27.1% 30.1% 23.6%
2021-11-03 NA 0.1% 0.2% 1.0% 2.7% 4.6% 5.9% 9.3% 26.2% 29.1% 22.7%
2021-11-02 NA 0.1% 0.2% 1.0% 2.5% 4.3% 5.6% 8.9% 25.2% 27.9% 21.7%
2021-11-01 NA 0.1% 0.2% 0.9% 2.4% 4.2% 5.4% 8.6% 24.4% 27.1% 20.9%
2021-10-31 NA 0.1% 0.2% 0.9% 2.3% 4.0% 5.2% 8.2% 23.8% 26.5% 20.4%
2021-10-30 NA 0.1% 0.2% 0.8% 2.2% 3.8% 4.9% 7.7% 22.9% 25.5% 19.7%
2021-10-29 NA 0.1% 0.2% 0.8% 2.1% 3.5% 4.6% 7.3% 21.7% 24.1% 18.5%
2021-10-28 NA 0.1% 0.1% 0.7% 2.0% 3.4% 4.3% 6.9% 20.4% 22.5% 17.3%
2021-10-27 NA 0.1% 0.1% 0.7% 1.8% 3.2% 4.1% 6.4% 18.9% 20.7% 16.0%
2021-10-26 NA 0.1% 0.1% 0.6% 1.7% 2.9% 3.8% 5.9% 17.3% 18.9% 14.8%
2021-10-24 NA 0.1% 0.1% 0.6% 1.6% 2.7% 3.5% 5.5% 16.0% 17.5% 13.7%
2021-10-23 NA 0.1% 0.1% 0.6% 1.5% 2.6% 3.3% 5.3% 15.5% 16.9% 13.3%
2021-10-22 NA 0.1% 0.1% 0.5% 1.5% 2.5% 3.2% 5.0% 14.8% 16.2% 12.6%
2021-10-21 NA 0.1% 0.1% 0.5% 1.4% 2.4% 3.1% 4.8% 14.4% 15.7% 12.2%
2021-10-20 NA 0.1% 0.1% 0.5% 1.4% 2.3% 3.0% 4.6% 13.9% 15.2% 11.6%
2021-10-19 NA 0.1% 0.1% 0.5% 1.3% 2.2% 2.8% 4.4% 13.5% 14.7% 11.2%
2021-10-18 NA 0.1% 0.1% 0.4% 1.3% 2.2% 2.7% 4.2% 13.1% 14.4% 10.8%
2021-10-17 NA 0.1% 0.1% 0.4% 1.2% 2.1% 2.7% 4.2% 13.0% 14.2% 10.6%
2021-10-16 NA 0.1% 0.1% 0.4% 1.1% 2.0% 2.5% 4.0% 12.7% 13.9% 10.3%
2021-10-15 NA 0.1% 0.1% 0.4% 1.1% 1.9% 2.4% 3.7% 12.0% 13.1% 9.6%
2021-10-14 NA 0.1% 0.1% 0.4% 1.0% 1.8% 2.2% 3.5% 11.5% 12.5% 8.9%
2021-10-13 NA 0.1% 0.1% 0.3% 0.9% 1.7% 2.1% 3.3% 11.0% 12.0% 8.4%
2021-10-12 NA 0.1% 0.1% 0.3% 0.9% 1.6% 2.0% 3.2% 10.5% 11.5% 8.0%

The table below shows the daily percentage change in the percent of each age group with a booster dose, using a seven day rolling average. 

  booster_rolling_table_output
Date 5-11 12-15 16-17 18-24 25-34 35-44 45-54 55-64 65-74 75-84 85+
2021-12-15 0.000% 0.002% 0.122% 0.207% 0.283% 0.392% 0.451% 0.540% 0.433% 0.424% 0.387%
2021-12-14 0.000% 0.002% 0.091% 0.193% 0.281% 0.397% 0.463% 0.556% 0.456% 0.450% 0.394%
2021-12-13 0.000% 0.002% 0.061% 0.173% 0.258% 0.369% 0.429% 0.518% 0.429% 0.423% 0.369%
2021-12-12 0.000% 0.002% 0.029% 0.173% 0.259% 0.375% 0.439% 0.531% 0.436% 0.430% 0.373%
2021-12-11 0.000% 0.002% 0.013% 0.173% 0.262% 0.385% 0.453% 0.546% 0.446% 0.434% 0.371%
2021-12-10 0.000% 0.002% 0.010% 0.179% 0.273% 0.406% 0.476% 0.576% 0.475% 0.459% 0.387%
2021-12-09 0.000% 0.002% 0.009% 0.169% 0.263% 0.401% 0.475% 0.591% 0.493% 0.489% 0.419%
2021-12-08 0.000% 0.002% 0.009% 0.170% 0.266% 0.406% 0.484% 0.611% 0.523% 0.526% 0.449%
2021-12-07 0.000% 0.001% 0.008% 0.155% 0.242% 0.377% 0.450% 0.575% 0.497% 0.502% 0.443%
2021-12-06 0.000% 0.001% 0.009% 0.159% 0.247% 0.386% 0.462% 0.600% 0.528% 0.540% 0.478%
2021-12-05 0.000% 0.001% 0.009% 0.153% 0.233% 0.364% 0.435% 0.575% 0.514% 0.528% 0.469%
2021-12-04 0.000% 0.001% 0.008% 0.148% 0.206% 0.325% 0.391% 0.534% 0.489% 0.506% 0.453%
2021-12-03 0.000% 0.001% 0.007% 0.125% 0.167% 0.260% 0.319% 0.446% 0.413% 0.431% 0.394%
2021-12-02 0.000% 0.001% 0.007% 0.123% 0.140% 0.219% 0.270% 0.369% 0.329% 0.341% 0.315%
2021-12-01 0.000% 0.001% 0.008% 0.155% 0.160% 0.242% 0.290% 0.392% 0.333% 0.337% 0.307%
2021-11-30 0.000% 0.001% 0.008% 0.176% 0.174% 0.264% 0.317% 0.426% 0.361% 0.365% 0.321%
2021-11-29 0.000% 0.001% 0.008% 0.179% 0.173% 0.265% 0.318% 0.427% 0.363% 0.366% 0.330%
2021-11-28 0.000% 0.001% 0.008% 0.179% 0.180% 0.281% 0.334% 0.448% 0.383% 0.385% 0.342%
2021-11-27 0.000% 0.001% 0.008% 0.174% 0.198% 0.313% 0.370% 0.492% 0.443% 0.448% 0.407%
2021-11-26 0.000% 0.001% 0.009% 0.176% 0.214% 0.343% 0.403% 0.535% 0.517% 0.530% 0.486%
2021-11-25 0.000% 0.001% 0.008% 0.161% 0.220% 0.356% 0.421% 0.569% 0.605% 0.638% 0.591%
2021-11-24 0.000% 0.001% 0.007% 0.126% 0.198% 0.332% 0.399% 0.546% 0.646% 0.702% 0.684%
2021-11-23 0.000% 0.001% 0.007% 0.104% 0.184% 0.311% 0.373% 0.514% 0.655% 0.716% 0.711%
2021-11-22 0.000% 0.001% 0.007% 0.100% 0.188% 0.323% 0.392% 0.554% 0.733% 0.773% 0.742%
2021-11-21 0.000% 0.001% 0.006% 0.091% 0.181% 0.312% 0.378% 0.535% 0.732% 0.775% 0.744%
2021-11-20 0.000% 0.001% 0.006% 0.086% 0.175% 0.304% 0.367% 0.524% 0.754% 0.801% 0.761%
2021-11-19 0.000% 0.001% 0.006% 0.081% 0.168% 0.295% 0.354% 0.503% 0.732% 0.775% 0.733%
2021-11-18 0.000% 0.001% 0.006% 0.081% 0.165% 0.292% 0.349% 0.493% 0.729% 0.768% 0.734%
2021-11-17 0.000% 0.000% 0.005% 0.066% 0.137% 0.244% 0.287% 0.404% 0.589% 0.603% 0.557%
2021-11-16 NA 0.000% 0.005% 0.078% 0.168% 0.294% 0.341% 0.477% 0.744% 0.785% 0.708%
2021-11-15 NA 0.001% 0.005% 0.072% 0.155% 0.272% 0.308% 0.422% 0.673% 0.740% 0.685%
2021-11-14 NA 0.001% 0.005% 0.076% 0.164% 0.288% 0.326% 0.449% 0.725% 0.791% 0.730%
2021-11-13 NA 0.001% 0.005% 0.070% 0.152% 0.269% 0.304% 0.427% 0.728% 0.802% 0.740%
2021-11-12 NA 0.001% 0.004% 0.071% 0.152% 0.267% 0.305% 0.432% 0.759% 0.840% 0.759%
2021-11-11 NA 0.001% 0.004% 0.067% 0.145% 0.256% 0.290% 0.421% 0.776% 0.870% 0.775%
2021-11-10 NA 0.001% 0.005% 0.074% 0.159% 0.280% 0.321% 0.471% 0.900% 1.011% 0.905%
2021-11-09 NA 0.001% 0.005% 0.060% 0.129% 0.224% 0.265% 0.394% 0.793% 0.885% 0.783%
2021-11-08 NA 0.001% 0.005% 0.061% 0.132% 0.227% 0.273% 0.405% 0.839% 0.938% 0.830%
2021-11-07 NA 0.001% 0.005% 0.055% 0.120% 0.207% 0.260% 0.390% 0.829% 0.931% 0.817%
2021-11-06 NA 0.001% 0.004% 0.052% 0.116% 0.199% 0.258% 0.387% 0.834% 0.938% 0.807%
2021-11-05 NA 0.001% 0.004% 0.049% 0.116% 0.201% 0.263% 0.399% 0.899% 1.023% 0.871%
2021-11-04 NA 0.001% 0.004% 0.047% 0.114% 0.197% 0.263% 0.404% 0.951% 1.086% 0.898%
2021-11-03 NA 0.001% 0.004% 0.047% 0.115% 0.202% 0.269% 0.419% 1.044% 1.204% 0.954%
2021-11-02 NA 0.001% 0.004% 0.047% 0.114% 0.203% 0.267% 0.422% 1.120% 1.287% 0.989%
2021-11-01 NA 0.001% 0.004% 0.048% 0.117% 0.210% 0.277% 0.441% 1.204% 1.376% 1.038%
2021-10-31 NA 0.001% 0.004% 0.045% 0.109% 0.199% 0.260% 0.420% 1.188% 1.365% 1.023%
2021-10-30 NA 0.001% 0.004% 0.042% 0.100% 0.182% 0.239% 0.394% 1.152% 1.327% 1.008%
2021-10-29 NA 0.001% 0.004% 0.038% 0.089% 0.160% 0.211% 0.352% 1.038% 1.187% 0.902%
2021-10-28 NA 0.001% 0.004% 0.036% 0.085% 0.148% 0.193% 0.322% 0.929% 1.046% 0.810%
2021-10-27 NA 0.001% 0.004% 0.032% 0.077% 0.132% 0.173% 0.285% 0.775% 0.855% 0.691%
2021-10-26 NA 0.001% 0.003% 0.026% 0.064% 0.108% 0.146% 0.238% 0.595% 0.649% 0.561%
2021-10-24 NA 0.001% 0.003% 0.021% 0.053% 0.087% 0.117% 0.188% 0.431% 0.465% 0.430%
2021-10-23 NA 0.001% 0.002% 0.021% 0.056% 0.088% 0.115% 0.183% 0.406% 0.437% 0.423%
2021-10-22 NA 0.001% 0.002% 0.022% 0.059% 0.092% 0.118% 0.184% 0.411% 0.440% 0.431%
2021-10-21 NA 0.001% 0.002% 0.022% 0.061% 0.095% 0.121% 0.188% 0.422% 0.457% 0.473%
2021-10-20 NA 0.001% 0.002% 0.021% 0.061% 0.094% 0.120% 0.184% 0.425% 0.459% 0.467%
2021-10-19 NA 0.001% 0.001% 0.021% 0.060% 0.092% 0.116% 0.179% 0.423% 0.452% 0.451%
2021-10-18 NA NA NA NA NA NA NA NA NA NA NA
2021-10-17 NA NA NA NA NA NA NA NA NA NA NA
2021-10-16 NA NA NA NA NA NA NA NA NA NA NA
2021-10-15 NA NA NA NA NA NA NA NA NA NA NA
2021-10-14 NA NA NA NA NA NA NA NA NA NA NA
2021-10-13 NA NA NA NA NA NA NA NA NA NA NA
2021-10-12 NA NA NA NA NA NA NA NA NA NA NA

The table below shows the total share of the population vaccinated with each dose, as well as the daily percentage change for each value using a seven day rolling average.”Portion Full Vacc. w/ Booster” indicates the share of the population that has been fully vaccinated which has also received a booster dose, and “Full Vacc. Boosted Change” provides the seven day rolling average percentage change in this number. 

  totals_table_output
Date One Dose One Dose Change Fully Vaccinated Full Vacc. Change Booster Booster Change Portion Full Vacc. w/ Booster Full Vacc. Boosted Change
2021-12-15 71.7% 0.095% 63.0% 0.104% 19.3% 0.309% 30.7% 0.446%
2021-12-14 71.6% 0.099% 62.9% 0.111% 19.0% 0.315% 30.2% 0.453%
2021-12-13 71.5% 0.094% 62.8% 0.106% 18.7% 0.292% 29.8% 0.419%
2021-12-12 71.5% 0.056% 62.7% 0.072% 18.5% 0.296% 29.5% 0.441%
2021-12-11 71.4% 0.060% 62.6% 0.086% 18.2% 0.302% 29.0% 0.446%
2021-12-10 71.3% 0.067% 62.5% 0.097% 17.9% 0.318% 28.6% 0.469%
2021-12-09 71.1% 0.071% 62.4% 0.106% 17.4% 0.320% 27.9% 0.472%
2021-12-08 71.0% 0.076% 62.3% 0.116% 17.2% 0.330% 27.6% 0.486%
2021-12-07 70.9% 0.071% 62.1% 0.113% 16.8% 0.309% 27.0% 0.454%
2021-12-06 70.9% 0.078% 62.1% 0.120% 16.7% 0.321% 26.9% 0.473%
2021-12-05 71.1% 0.115% 62.2% 0.151% 16.4% 0.307% 26.4% 0.437%
2021-12-04 70.9% 0.108% 62.0% 0.131% 16.1% 0.283% 25.9% 0.408%
2021-12-03 70.8% 0.093% 61.8% 0.109% 15.6% 0.235% 25.3% 0.339%
2021-12-02 70.6% 0.083% 61.6% 0.084% 15.2% 0.195% 24.6% 0.286%
2021-12-01 70.5% 0.093% 61.5% 0.070% 14.9% 0.210% 24.2% 0.317%
2021-11-30 70.4% 0.103% 61.3% 0.059% 14.6% 0.229% 23.8% 0.352%
2021-11-29 70.3% 0.104% 61.2% 0.051% 14.4% 0.230% 23.6% 0.358%
2021-11-28 70.3% 0.112% 61.2% 0.047% 14.3% 0.241% 23.4% 0.377%
2021-11-27 70.2% 0.130% 61.1% 0.047% 14.1% 0.267% 23.1% 0.421%
2021-11-26 70.1% 0.147% 61.1% 0.051% 14.0% 0.295% 22.9% 0.467%
2021-11-25 70.0% 0.159% 61.0% 0.056% 13.8% 0.319% 22.6% 0.504%
2021-11-24 69.9% 0.169% 61.0% 0.071% 13.4% 0.312% 22.0% 0.490%
2021-11-23 69.7% 0.166% 60.9% 0.071% 13.0% 0.299% 21.4% 0.471%
2021-11-22 69.6% 0.189% 60.9% 0.093% 12.8% 0.319% 21.1% 0.498%
2021-11-21 69.5% 0.192% 60.8% 0.093% 12.6% 0.312% 20.7% 0.486%
2021-11-20 69.3% 0.202% 60.8% 0.094% 12.2% 0.310% 20.1% 0.485%
2021-11-19 69.1% 0.200% 60.7% 0.091% 11.9% 0.300% 19.6% 0.469%
2021-11-18 68.9% 0.205% 60.6% 0.089% 11.6% 0.296% 19.1% 0.465%
2021-11-17 68.7% 0.167% 60.5% 0.064% 11.2% 0.241% 18.5% 0.381%
2021-11-16 68.5% 0.250% 60.4% 0.075% 10.9% 0.295% 18.1% 0.470%
2021-11-15 68.3% 0.220% 60.2% 0.053% 10.6% 0.269% 17.6% 0.434%
2021-11-14 68.1% 0.213% 60.2% 0.058% 10.4% 0.287% 17.3% 0.463%
2021-11-13 67.8% 0.187% 60.1% 0.060% 10.0% 0.278% 16.7% 0.448%
2021-11-12 67.7% 0.175% 60.1% 0.062% 9.8% 0.283% 16.4% 0.458%
2021-11-11 67.5% 0.156% 60.0% 0.063% 9.5% 0.280% 15.9% 0.454%
2021-11-10 67.5% 0.166% 60.0% 0.071% 9.5% 0.317% 15.9% 0.514%
2021-11-09 66.8% 0.073% 59.9% 0.061% 8.8% 0.269% 14.8% 0.437%
2021-11-08 66.7% 0.076% 59.8% 0.063% 8.7% 0.280% 14.5% 0.456%
2021-11-07 66.6% 0.072% 59.8% 0.059% 8.4% 0.270% 14.1% 0.441%
2021-11-06 66.5% 0.069% 59.7% 0.055% 8.1% 0.268% 13.6% 0.439%
2021-11-05 66.5% 0.072% 59.6% 0.058% 7.8% 0.281% 13.2% 0.462%
2021-11-04 66.4% 0.075% 59.6% 0.059% 7.6% 0.289% 12.7% 0.477%
2021-11-03 66.3% 0.083% 59.5% 0.062% 7.3% 0.308% 12.3% 0.509%
2021-11-02 66.3% 0.087% 59.5% 0.063% 7.0% 0.320% 11.7% 0.530%
2021-11-01 66.2% 0.093% 59.4% 0.068% 6.7% 0.338% 11.3% 0.561%
2021-10-31 66.1% 0.092% 59.4% 0.069% 6.5% 0.328% 11.0% 0.545%
2021-10-30 66.1% 0.094% 59.3% 0.071% 6.2% 0.313% 10.5% 0.519%
2021-10-29 66.0% 0.090% 59.2% 0.068% 5.9% 0.280% 9.9% 0.465%
2021-10-28 65.9% 0.089% 59.2% 0.068% 5.5% 0.253% 9.3% 0.420%
2021-10-27 65.8% 0.085% 59.1% 0.065% 5.1% 0.216% 8.7% 0.359%
2021-10-26 65.6% 0.078% 59.0% 0.063% 4.7% 0.172% 8.0% 0.285%
2021-10-24 65.5% 0.067% 58.9% 0.056% 4.4% 0.131% 7.4% 0.216%
2021-10-23 65.5% 0.069% 58.9% 0.058% 4.2% 0.127% 7.2% 0.209%
2021-10-22 65.4% 0.073% 58.8% 0.062% 4.0% 0.129% 6.9% 0.213%
2021-10-21 65.3% 0.074% 58.8% 0.066% 3.9% 0.133% 6.7% 0.220%
2021-10-20 65.3% 0.077% 58.7% 0.070% 3.8% 0.132% 6.4% 0.220%
2021-10-19 65.2% 0.076% 58.6% 0.130% 3.6% 0.130% 6.2% 0.211%
2021-10-18 65.1% 0.051% 58.6% 0.120% 3.5% NA 6.0% NA
2021-10-17 65.1% 0.048% 58.5% 0.117% 3.5% NA 5.9% NA
2021-10-16 65.0% 0.050% 58.5% 0.120% 3.3% NA 5.7% NA
2021-10-15 64.9% 0.049% 58.4% 0.117% 3.1% NA 5.4% NA
2021-10-14 64.8% 0.065% 58.3% 0.134% 3.0% NA 5.1% NA
2021-10-13 64.7% 0.059% 58.2% 0.129% 2.8% NA 4.9% NA
2021-10-12 64.6% 0.057% 57.7% 0.071% 2.7% NA 4.7% NA
2021-10-11 64.7% 0.080% 57.7% 0.081% NA NA NA NA
2021-10-10 64.7% 0.100% 57.7% 0.105% NA NA NA NA
2021-10-09 64.7% 0.101% 57.6% 0.105% NA NA NA NA
2021-10-08 64.6% 0.096% 57.6% 0.100% NA NA NA NA
2021-10-06 64.4% 0.079% 57.4% 0.083% NA NA NA NA
2021-10-05 64.3% 0.082% 57.3% 0.091% NA NA NA NA
2021-10-04 64.2% 0.079% 57.2% 0.089% NA NA NA NA
2021-10-03 64.2% 0.087% 57.2% 0.097% NA NA NA NA
2021-09-30 64.0% 0.074% 57.0% 0.081% NA NA NA NA
2021-09-29 63.9% 0.074% 56.9% 0.083% NA NA NA NA
2021-09-28 63.9% -0.064% 56.9% 0.186% NA NA NA NA
2021-09-27 63.8% -0.066% 56.8% 0.185% NA NA NA NA
2021-09-26 63.7% -0.059% 56.7% 0.192% NA NA NA NA
2021-09-25 63.7% 0.123% 56.6% 0.070% NA NA NA NA
2021-09-24 63.6% 0.121% 56.5% 0.121% NA NA NA NA
2021-09-23 63.5% 0.128% 56.4% 0.127% NA NA NA NA
2021-09-22 63.4% 0.130% 56.3% 0.128% NA NA NA NA
2021-09-20 64.3% 0.271% 55.5% 0.028% NA NA NA NA
2021-09-19 64.3% 0.273% 55.5% 0.028% NA NA NA NA
2021-09-18 64.1% 0.270% 55.3% 0.023% NA NA NA NA
2021-09-17 62.8% 0.095% 56.1% 0.149% NA NA NA NA
2021-09-16 62.7% 0.097% 55.7% 0.097% NA NA NA NA
2021-09-15 62.6% 0.096% 55.5% 0.099% NA NA NA NA
2021-09-14 62.5% 0.091% 55.4% 0.094% NA NA NA NA
2021-09-13 62.4% 0.088% 55.4% 0.090% NA NA NA NA
2021-09-12 62.4% 0.087% 55.3% 0.090% NA NA NA NA
2021-09-11 62.3% 0.072% 55.2% 0.074% NA NA NA NA
2021-09-10 62.2% 0.087% 55.1% 0.089% NA NA NA NA
2021-09-09 62.1% 0.092% 55.0% 0.093% NA NA NA NA
2021-09-08 61.9% 0.091% 54.8% 0.088% NA NA NA NA
2021-09-07 61.9% 0.096% 54.8% 0.092% NA NA NA NA
2021-09-06 61.8% 0.101% 54.7% 0.097% NA NA NA NA
2021-09-05 61.8% 0.103% 54.7% 0.099% NA NA NA NA
2021-09-04 61.8% 0.120% 54.7% 0.116% NA NA NA NA
2021-09-03 61.5% 0.113% 54.4% 0.107% NA NA NA NA
2021-09-02 61.4% 0.111% 54.3% 0.103% NA NA NA NA
2021-09-01 61.3% 0.114% 54.2% 0.104% NA NA NA NA
2021-08-31 61.2% 0.119% 54.1% 0.107% NA NA NA NA
2021-08-30 61.1% 0.120% 54.0% 0.107% NA NA NA NA
2021-08-29 61.0% 0.119% 54.0% 0.105% NA NA NA NA
2021-08-28 60.9% 0.119% 53.8% 0.101% NA NA NA NA
2021-08-27 60.8% 0.111% 53.7% 0.094% NA NA NA NA
2021-08-26 60.6% 0.112% 53.6% 0.094% NA NA NA NA
2021-08-25 60.5% 0.114% 53.5% 0.094% NA NA NA NA
2021-08-24 60.4% 0.108% 53.4% 0.087% NA NA NA NA
2021-08-23 60.3% 0.107% 53.3% 0.084% NA NA NA NA
2021-08-22 60.2% 0.110% 53.2% 0.085% NA NA NA NA
2021-08-21 60.1% 0.112% 53.1% 0.083% NA NA NA NA
2021-08-20 60.0% 0.113% 53.0% 0.082% NA NA NA NA
2021-08-19 59.8% 0.124% 52.9% 0.086% NA NA NA NA
2021-08-18 59.7% 0.118% 52.8% 0.079% NA NA NA NA
2021-08-17 59.6% 0.121% 52.8% 0.080% NA NA NA NA
2021-08-16 59.5% 0.130% 52.7% 0.085% NA NA NA NA
2021-08-15 59.4% 0.129% 52.6% 0.082% NA NA NA NA
2021-08-14 59.3% 0.129% 52.6% 0.079% NA NA NA NA
2021-08-13 59.2% 0.133% 52.5% 0.079% NA NA NA NA
2021-08-12 59.0% 0.123% 52.3% 0.071% NA NA NA NA
2021-08-11 58.9% 0.126% 52.3% 0.072% NA NA NA NA
2021-08-10 58.8% 0.129% 52.2% 0.074% NA NA NA NA
2021-08-09 58.6% 0.121% 52.1% 0.067% NA NA NA NA
2021-08-08 58.5% 0.119% 52.1% 0.066% NA NA NA NA
2021-08-07 58.4% 0.118% 52.0% 0.067% NA NA NA NA
2021-08-06 58.2% 0.114% 51.9% 0.065% NA NA NA NA
2021-08-05 58.1% 0.115% 51.8% 0.068% NA NA NA NA
2021-08-04 58.0% 0.113% 51.8% 0.068% NA NA NA NA
2021-08-03 57.9% 0.111% 51.7% 0.068% NA NA NA NA
2021-08-02 57.8% 0.109% 51.6% 0.067% NA NA NA NA
2021-08-01 57.7% 0.107% 51.6% 0.067% NA NA NA NA
2021-07-31 57.6% -8.017% 51.5% -7.229% NA NA NA NA
2021-07-30 57.4% 0.106% 51.5% 0.067% NA NA NA NA
2021-07-29 57.3% 0.101% 51.4% 0.066% NA NA NA NA
2021-07-28 57.2% 0.100% 51.3% 0.068% NA NA NA NA
2021-07-27 57.1% 0.097% 51.2% 0.068% NA NA NA NA
2021-07-26 57.0% 0.094% 51.2% 0.070% NA NA NA NA
2021-07-25 56.9% 0.095% 51.1% 0.074% NA NA NA NA
2021-07-24 113.7% 8.212% 102.1% 7.371% NA NA NA NA
2021-07-23 56.7% 0.082% 51.0% 0.075% NA NA NA NA
2021-07-22 56.6% -0.048% 50.9% 0.199% NA NA NA NA
2021-07-21 56.5% -0.059% 50.8% 0.213% NA NA NA NA
2021-07-20 56.4% -0.050% 50.7% 0.203% NA NA NA NA
2021-07-19 56.3% -0.038% 50.7% 0.196% NA NA NA NA
2021-07-18 56.3% -0.033% 50.6% 0.187% NA NA NA NA
2021-07-17 56.2% -0.016% 50.5% 0.178% NA NA NA NA
2021-07-16 56.1% -0.011% 50.5% 0.168% NA NA NA NA
2021-07-15 56.9% 0.127% 49.5% 0.034% NA NA NA NA
2021-07-14 56.9% 0.152% 49.3% 0.010% NA NA NA NA
2021-07-13 56.8% 0.007% 49.3% 0.070% NA NA NA NA
2021-07-12 56.6% -0.012% 49.3% 0.073% NA NA NA NA
2021-07-11 56.5% 0.002% 49.3% 0.106% NA NA NA NA
2021-07-10 56.3% -0.012% 49.3% 0.120% NA NA NA NA
2021-07-09 56.2% -0.008% 49.3% 0.140% NA NA NA NA
2021-07-08 56.1% -0.018% 49.3% 0.155% NA NA NA NA
2021-07-07 55.9% -0.036% 49.3% 0.167% NA NA NA NA
2021-07-06 56.7% 0.096% 48.8% 0.116% NA NA NA NA
2021-07-05 56.7% 0.129% 48.8% 0.146% NA NA NA NA
2021-07-02 56.5% 0.120% 48.6% 0.137% NA NA NA NA
2021-07-01 56.4% 0.125% 48.5% 0.142% NA NA NA NA
2021-06-30 56.3% 0.124% 48.3% 0.149% NA NA NA NA
2021-06-29 56.2% 0.129% 48.2% 0.154% NA NA NA NA
2021-06-28 56.1% 0.131% 48.1% 0.158% NA NA NA NA
2021-06-27 56.0% 0.131% 48.0% 0.162% NA NA NA NA
2021-06-26 55.8% 0.107% 47.8% 0.152% NA NA NA NA
2021-06-25 55.7% 0.105% 47.6% 0.159% NA NA NA NA
2021-06-24 55.5% 0.104% 47.5% 0.171% NA NA NA NA
2021-06-23 55.4% 0.106% 47.3% 0.182% NA NA NA NA
2021-06-22 55.3% 0.138% 47.1% 0.255% NA NA NA NA
2021-06-21 55.2% 0.126% 47.0% 0.238% NA NA NA NA
2021-06-20 55.1% 0.128% 46.9% 0.254% NA NA NA NA
2021-06-19 55.0% 0.121% 46.7% 0.247% NA NA NA NA
2021-06-18 54.9% 0.132% 46.5% 0.258% NA NA NA NA
2021-06-17 54.8% 0.140% 46.3% 0.263% NA NA NA NA
2021-06-16 54.7% 0.151% 46.0% 0.273% NA NA NA NA
2021-06-15 54.3% 0.122% 45.3% 0.220% NA NA NA NA
2021-06-14 54.3% 0.138% 45.3% 0.245% NA NA NA NA
2021-06-13 54.2% 0.168% 45.1% 0.283% NA NA NA NA
2021-06-12 54.2% 0.161% 45.0% 0.265% NA NA NA NA
2021-06-11 54.0% 0.161% 44.7% 0.261% NA NA NA NA
2021-06-10 53.8% 0.162% 44.4% 0.252% NA NA NA NA
2021-06-09 53.6% 0.162% 44.1% 0.239% NA NA NA NA
2021-06-08 53.5% 0.159% 43.8% 0.220% NA NA NA NA
2021-06-07 53.3% 0.162% 43.6% 0.212% NA NA NA NA
2021-06-06 53.1% 0.163% 43.1% 0.191% NA NA NA NA
2021-06-05 53.1% 0.163% 43.1% 0.191% NA NA NA NA
2021-06-04 52.9% 0.174% 42.9% 0.199% NA NA NA NA
2021-06-03 52.7% 0.193% 42.7% 0.223% NA NA NA NA
2021-06-02 52.5% 0.193% 42.4% 0.229% NA NA NA NA
2021-06-01 52.3% 0.211% 42.2% 0.241% NA NA NA NA
2021-05-31 52.2% 0.219% 42.1% 0.251% NA NA NA NA
2021-05-30 51.9% 0.205% 41.8% 0.231% NA NA NA NA
2021-05-29 51.9% 0.240% 41.8% 0.275% NA NA NA NA
2021-05-28 51.6% 0.250% 41.5% 0.293% NA NA NA NA
2021-05-27 51.3% 0.278% 41.1% 0.312% NA NA NA NA
2021-05-26 51.1% 0.290% 40.8% 0.326% NA NA NA NA
2021-05-25 50.9% 0.309% 40.6% 0.360% NA NA NA NA
2021-05-24 50.7% 0.337% 40.4% 0.361% NA NA NA NA
2021-05-23 50.5% 0.330% 40.2% 0.377% NA NA NA NA
2021-05-22 50.2% 0.316% 39.9% 0.367% NA NA NA NA
2021-05-21 49.9% 0.301% 39.4% 0.373% NA NA NA NA
2021-05-20 49.4% 0.256% 38.9% 0.371% NA NA NA NA
2021-05-19 49.1% 0.236% 38.5% 0.378% NA NA NA NA
2021-05-18 48.7% 0.204% 38.0% 0.363% NA NA NA NA
2021-05-17 48.3% 0.175% 37.8% 0.384% NA NA NA NA
2021-05-16 48.2% 0.209% 37.5% 0.414% NA NA NA NA
2021-05-15 48.0% 0.221% 37.3% 0.423% NA NA NA NA
2021-05-14 47.8% 0.218% 36.8% 0.418% NA NA NA NA
2021-05-13 47.6% 0.236% 36.3% 0.434% NA NA NA NA
2021-05-12 47.4% 0.272% 35.9% 0.465% NA NA NA NA
2021-05-11 47.3% 0.282% 35.5% 0.469% NA NA NA NA
2021-05-10 47.1% 0.285% 35.1% 0.456% NA NA NA NA
2021-05-09 46.7% 0.244% 34.6% 0.398% NA NA NA NA
2021-05-08 46.5% 0.251% 34.3% 0.426% NA NA NA NA
2021-05-07 46.3% 0.280% 33.9% 0.471% NA NA NA NA
2021-05-06 45.9% 0.298% 33.3% 0.485% NA NA NA NA
2021-05-05 45.5% 0.292% 32.6% 0.465% NA NA NA NA
2021-05-04 45.3% 0.294% 32.2% 0.456% NA NA NA NA
2021-05-03 45.1% 0.309% 32.0% 0.472% NA NA NA NA
2021-05-02 45.0% 0.357% 31.8% 0.512% NA NA NA NA
2021-05-01 44.7% 0.362% 31.3% 0.511% NA NA NA NA
2021-04-30 44.3% 0.379% 30.6% 0.502% NA NA NA NA
2021-04-29 43.9% 0.393% 29.9% 0.506% NA NA NA NA
2021-04-28 43.5% 0.405% 29.4% 0.514% NA NA NA NA
2021-04-27 43.2% 0.415% 29.0% 0.520% NA NA NA NA
2021-04-26 42.9% 0.436% 28.7% 0.515% NA NA NA NA
2021-04-25 42.5% 0.423% 28.3% 0.516% NA NA NA NA
2021-04-24 42.2% 0.428% 27.8% 0.519% NA NA NA NA
2021-04-23 41.7% 0.427% 27.1% 0.517% NA NA NA NA
2021-04-22 41.1% 0.460% 26.3% 0.526% NA NA NA NA
2021-04-21 40.7% 0.451% 25.8% 0.507% NA NA NA NA
2021-04-20 40.3% 0.477% 25.4% 0.523% NA NA NA NA
2021-04-19 39.9% 0.464% 25.0% 0.537% NA NA NA NA
2021-04-18 39.5% 0.468% 24.6% 0.521% NA NA NA NA
2021-04-17 39.2% 0.518% 24.1% 0.541% NA NA NA NA
2021-04-16 38.7% 0.542% 23.5% 0.533% NA NA NA NA
2021-04-15 37.9% 0.539% 22.7% 0.493% NA NA NA NA
2021-04-14 37.5% 0.551% 22.2% 0.488% NA NA NA NA
2021-04-13 37.0% 0.549% 21.7% 0.472% NA NA NA NA
2021-04-12 36.6% 0.547% 21.3% 0.457% NA NA NA NA
2021-04-11 36.3% 0.545% 21.0% 0.458% NA NA NA NA
2021-04-10 35.6% 0.556% 20.3% 0.450% NA NA NA NA
2021-04-09 34.9% 0.573% 19.7% 0.446% NA NA NA NA
2021-04-08 34.1% 0.580% 19.2% 0.442% NA NA NA NA
2021-04-07 33.6% 0.595% 18.8% 0.432% NA NA NA NA
2021-04-06 33.2% 0.606% 18.4% 0.420% NA NA NA NA
2021-04-05 32.8% 0.674% 18.1% 0.444% NA NA NA NA
2021-04-04 32.4% 0.723% 17.8% 0.445% NA NA NA NA
2021-04-03 31.7% 0.735% 17.2% 0.411% NA NA NA NA
2021-04-02 30.9% 0.674% 16.6% 0.346% NA NA NA NA
2021-04-01 30.1% 0.644% 16.1% 0.321% NA NA NA NA
2021-03-31 29.5% 0.627% 15.8% 0.300% NA NA NA NA
2021-03-30 28.9% 0.636% 15.5% 0.298% NA NA NA NA
2021-03-29 28.1% 0.550% 15.0% 0.242% NA NA NA NA
2021-03-28 27.4% 0.499% 14.7% 0.232% NA NA NA NA
2021-03-27 26.5% 0.447% 14.3% 0.217% NA NA NA NA
2021-03-26 26.1% 0.486% 14.2% 0.224% NA NA NA NA
2021-03-25 25.5% 0.485% 13.9% 0.218% NA NA NA NA
2021-03-24 25.1% 0.493% 13.7% 0.219% NA NA NA NA
2021-03-23 24.5% NA 13.4% NA NA NA NA NA
2021-03-22 24.2% NA 13.3% NA NA NA NA NA
2021-03-21 23.9% NA 13.1% NA NA NA NA NA
2021-03-20 23.4% NA 12.8% NA NA NA NA NA
2021-03-19 22.7% NA 12.6% NA NA NA NA NA
2021-03-18 22.2% NA 12.3% NA NA NA NA NA
2021-03-17 21.6% NA 12.1% NA NA NA NA NA